main_notebook.ipynb

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   "cell_type": "markdown",
   "id": "3eb4c8eb-1b0a-430b-b590-16a79a5b4e6d",
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   "source": [
    "# Real-Time Data Extraction and Machine Learning for Optimized Uber Ride Booking using Continuous Learning\n",
    "\n",
    "### Objective:\n",
    "- The rise of ride-sharing services like Uber has transformed urban transportation. However, users often struggle with fluctuating ride prices and varying wait times. This project addresses these challenges by leveraging real-time data and machine learning models to predict the best times for booking Uber rides. The goal is to provide a data-driven approach that ensures cost savings and improved convenience for users.\n",
    "\n",
    "### Project Scope and Applications:\n",
    "- End-to-End Development: The project involves real-time data extraction, machine learning for fare prediction, waiting time, ride time and delivering results via a Streamlit application.\n",
    "- Real-World Relevance: The system will optimize Uber ride booking by suggesting the cheapest fare times, potentially saving users money and time while constantly learning from new data.\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "1b49f6fe-e418-4c00-ac55-613b629baf30",
   "metadata": {},
   "source": [
    "#### This step comes after the creation and running of webscrapping in main.py (Data collection started from 2024-09-10 and is currently running still for 1 hour intervals between 7 am and 11 pm for 42 unique routes "
   ]
  },
  {
   "cell_type": "markdown",
   "id": "8b7b0a31-b83b-4812-ba19-5db1054bfb21",
   "metadata": {},
   "source": [
    "# 1.0 Setting up MySql Connection"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "4cce948b-958b-42d3-bbb5-1233c44d5ddd",
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "from sqlalchemy import create_engine\n",
    "from sqlalchemy import text\n",
    "\n",
    "# Database connection parameters\n",
    "username = 'root'\n",
    "password = 'expert789'\n",
    "host = 'localhost'\n",
    "port = '3306'\n",
    "database = 'uber'\n",
    "\n",
    "# Create a database connection\n",
    "engine = create_engine(f'mysql+mysqlconnector://{username}:{password}@{host}:{port}/{database}')\n",
    "\n",
    "# Create a connection\n",
    "with engine.connect() as connection:\n",
    "    # Execute the query\n",
    "    result = connection.execute(text(\"SELECT * FROM uber_details\"))\n",
    "    df = pd.DataFrame(result.fetchall(), columns=result.keys())\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "07e4bc84-3aa2-4be2-9796-0fee46b5b88a",
   "metadata": {},
   "outputs": [],
   "source": [
    "\n",
    "# Create a connection\n",
    "with engine.connect() as connection:\n",
    "    # Execute the query\n",
    "    result = connection.execute(text(\"SELECT * FROM uber_details\"))\n",
    "    df = pd.DataFrame(result.fetchall(), columns=result.keys())\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "2c49c2dd-a699-42c3-a05d-d77fe27548a5",
   "metadata": {},
   "source": [
    "# 2.0 Exploratory Data Analysis"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "cedd0098-7050-4f1b-a541-314f2d609f3d",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>id</th>\n",
       "      <th>route_from</th>\n",
       "      <th>route_to</th>\n",
       "      <th>ride_type</th>\n",
       "      <th>ride_max_persons</th>\n",
       "      <th>ride_request_time</th>\n",
       "      <th>ride_waiting_time</th>\n",
       "      <th>ride_request_date</th>\n",
       "      <th>ride_reaching_time</th>\n",
       "      <th>ride_time</th>\n",
       "      <th>ride_price</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1</td>\n",
       "      <td>Chennai Lighthouse</td>\n",
       "      <td>Chennai Citi Centre</td>\n",
       "      <td>Uber Auto</td>\n",
       "      <td>3.0</td>\n",
       "      <td>16:34:22</td>\n",
       "      <td>2.0</td>\n",
       "      <td>2024-09-10</td>\n",
       "      <td>16:43:00</td>\n",
       "      <td>0:06:38</td>\n",
       "      <td>70.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2</td>\n",
       "      <td>Chennai Lighthouse</td>\n",
       "      <td>Chennai Citi Centre</td>\n",
       "      <td>Uber Go</td>\n",
       "      <td>4.0</td>\n",
       "      <td>16:34:22</td>\n",
       "      <td>6.0</td>\n",
       "      <td>2024-09-10</td>\n",
       "      <td>16:48:00</td>\n",
       "      <td>0:07:38</td>\n",
       "      <td>138.07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>3</td>\n",
       "      <td>Chennai Lighthouse</td>\n",
       "      <td>Chennai Citi Centre</td>\n",
       "      <td>Moto</td>\n",
       "      <td>1.0</td>\n",
       "      <td>16:34:22</td>\n",
       "      <td>6.0</td>\n",
       "      <td>2024-09-10</td>\n",
       "      <td>16:48:00</td>\n",
       "      <td>0:07:38</td>\n",
       "      <td>32.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>4</td>\n",
       "      <td>Chennai Lighthouse</td>\n",
       "      <td>Chennai Citi Centre</td>\n",
       "      <td>Premier</td>\n",
       "      <td>4.0</td>\n",
       "      <td>16:34:22</td>\n",
       "      <td>8.0</td>\n",
       "      <td>2024-09-10</td>\n",
       "      <td>16:50:00</td>\n",
       "      <td>0:07:38</td>\n",
       "      <td>207.76</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>5</td>\n",
       "      <td>Chennai Lighthouse</td>\n",
       "      <td>Chennai Citi Centre</td>\n",
       "      <td>Go Sedan</td>\n",
       "      <td>4.0</td>\n",
       "      <td>16:34:22</td>\n",
       "      <td>8.0</td>\n",
       "      <td>2024-09-10</td>\n",
       "      <td>16:49:00</td>\n",
       "      <td>0:06:38</td>\n",
       "      <td>147.06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23017</th>\n",
       "      <td>23018</td>\n",
       "      <td>Semmozhi Poonga</td>\n",
       "      <td>Marina Beach</td>\n",
       "      <td>Uber Go</td>\n",
       "      <td>4.0</td>\n",
       "      <td>13:06:11</td>\n",
       "      <td>2.0</td>\n",
       "      <td>2024-09-19</td>\n",
       "      <td>13:29:00</td>\n",
       "      <td>0:20:49</td>\n",
       "      <td>216.48</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23018</th>\n",
       "      <td>23019</td>\n",
       "      <td>Semmozhi Poonga</td>\n",
       "      <td>Marina Beach</td>\n",
       "      <td>Moto</td>\n",
       "      <td>1.0</td>\n",
       "      <td>13:06:11</td>\n",
       "      <td>2.0</td>\n",
       "      <td>2024-09-19</td>\n",
       "      <td>13:27:00</td>\n",
       "      <td>0:18:49</td>\n",
       "      <td>52.24</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23019</th>\n",
       "      <td>23020</td>\n",
       "      <td>Semmozhi Poonga</td>\n",
       "      <td>Marina Beach</td>\n",
       "      <td>Premier</td>\n",
       "      <td>4.0</td>\n",
       "      <td>13:06:11</td>\n",
       "      <td>3.0</td>\n",
       "      <td>2024-09-19</td>\n",
       "      <td>13:29:00</td>\n",
       "      <td>0:19:49</td>\n",
       "      <td>327.20</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23020</th>\n",
       "      <td>23021</td>\n",
       "      <td>Semmozhi Poonga</td>\n",
       "      <td>Marina Beach</td>\n",
       "      <td>Go Sedan</td>\n",
       "      <td>4.0</td>\n",
       "      <td>13:06:11</td>\n",
       "      <td>3.0</td>\n",
       "      <td>2024-09-19</td>\n",
       "      <td>13:30:00</td>\n",
       "      <td>0:20:49</td>\n",
       "      <td>238.50</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23021</th>\n",
       "      <td>23022</td>\n",
       "      <td>Semmozhi Poonga</td>\n",
       "      <td>Marina Beach</td>\n",
       "      <td>UberXL</td>\n",
       "      <td>6.0</td>\n",
       "      <td>13:06:11</td>\n",
       "      <td>7.0</td>\n",
       "      <td>2024-09-19</td>\n",
       "      <td>13:33:00</td>\n",
       "      <td>0:19:49</td>\n",
       "      <td>385.84</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>23022 rows × 11 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "          id          route_from             route_to  ride_type  \\\n",
       "0          1  Chennai Lighthouse  Chennai Citi Centre  Uber Auto   \n",
       "1          2  Chennai Lighthouse  Chennai Citi Centre    Uber Go   \n",
       "2          3  Chennai Lighthouse  Chennai Citi Centre       Moto   \n",
       "3          4  Chennai Lighthouse  Chennai Citi Centre    Premier   \n",
       "4          5  Chennai Lighthouse  Chennai Citi Centre   Go Sedan   \n",
       "...      ...                 ...                  ...        ...   \n",
       "23017  23018     Semmozhi Poonga         Marina Beach    Uber Go   \n",
       "23018  23019     Semmozhi Poonga         Marina Beach       Moto   \n",
       "23019  23020     Semmozhi Poonga         Marina Beach    Premier   \n",
       "23020  23021     Semmozhi Poonga         Marina Beach   Go Sedan   \n",
       "23021  23022     Semmozhi Poonga         Marina Beach     UberXL   \n",
       "\n",
       "       ride_max_persons ride_request_time  ride_waiting_time  \\\n",
       "0                   3.0          16:34:22                2.0   \n",
       "1                   4.0          16:34:22                6.0   \n",
       "2                   1.0          16:34:22                6.0   \n",
       "3                   4.0          16:34:22                8.0   \n",
       "4                   4.0          16:34:22                8.0   \n",
       "...                 ...               ...                ...   \n",
       "23017               4.0          13:06:11                2.0   \n",
       "23018               1.0          13:06:11                2.0   \n",
       "23019               4.0          13:06:11                3.0   \n",
       "23020               4.0          13:06:11                3.0   \n",
       "23021               6.0          13:06:11                7.0   \n",
       "\n",
       "      ride_request_date ride_reaching_time ride_time ride_price  \n",
       "0            2024-09-10           16:43:00   0:06:38      70.00  \n",
       "1            2024-09-10           16:48:00   0:07:38     138.07  \n",
       "2            2024-09-10           16:48:00   0:07:38      32.00  \n",
       "3            2024-09-10           16:50:00   0:07:38     207.76  \n",
       "4            2024-09-10           16:49:00   0:06:38     147.06  \n",
       "...                 ...                ...       ...        ...  \n",
       "23017        2024-09-19           13:29:00   0:20:49     216.48  \n",
       "23018        2024-09-19           13:27:00   0:18:49      52.24  \n",
       "23019        2024-09-19           13:29:00   0:19:49     327.20  \n",
       "23020        2024-09-19           13:30:00   0:20:49     238.50  \n",
       "23021        2024-09-19           13:33:00   0:19:49     385.84  \n",
       "\n",
       "[23022 rows x 11 columns]"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "5efdc45f-c0cd-4271-b46a-930818a7e2f3",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "2024-09-10\n",
      "2024-09-19\n"
     ]
    }
   ],
   "source": [
    "print(df['ride_request_date'].min())\n",
    "print(df['ride_request_date'].max())\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "9c3b992a-d52f-4129-a543-60f91ee4c539",
   "metadata": {},
   "outputs": [],
   "source": [
    "from summarytools import dfSummary"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "c300fc89-76d5-4b7f-b974-10cddfda8e23",
   "metadata": {},
   "outputs": [
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       "  <caption><strong>Data Frame Summary</strong><br>_<br>Dimensions: 18,792 x 11<br>Duplicates: 0</caption>\n",
       "  <thead>\n",
       "    <tr>\n",
       "      <th id=\"T_7a404_level0_col0\" class=\"col_heading level0 col0\" >No</th>\n",
       "      <th id=\"T_7a404_level0_col1\" class=\"col_heading level0 col1\" >Variable</th>\n",
       "      <th id=\"T_7a404_level0_col2\" class=\"col_heading level0 col2\" >Stats / Values</th>\n",
       "      <th id=\"T_7a404_level0_col3\" class=\"col_heading level0 col3\" >Freqs / (% of Valid)</th>\n",
       "      <th id=\"T_7a404_level0_col4\" class=\"col_heading level0 col4\" >Graph</th>\n",
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       "      <td id=\"T_7a404_row0_col0\" class=\"data row0 col0\" >1</td>\n",
       "      <td id=\"T_7a404_row0_col1\" class=\"data row0 col1\" ><strong>id</strong><br>[int64]</td>\n",
       "      <td id=\"T_7a404_row0_col2\" class=\"data row0 col2\" >Mean (sd) : 9396.5 (5424.9)<br>min < med < max:<br>1.0 < 9396.5 < 18792.0<br>IQR (CV) : 9395.5 (1.7)</td>\n",
       "      <td id=\"T_7a404_row0_col3\" class=\"data row0 col3\" >18,792 distinct values</td>\n",
       "      <td id=\"T_7a404_row0_col4\" class=\"data row0 col4\" ><img src = \"data:image/png;base64, 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\"></img></td>\n",
       "      <td id=\"T_7a404_row0_col5\" class=\"data row0 col5\" >0<br>(0.0%)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_7a404_row1_col0\" class=\"data row1 col0\" >2</td>\n",
       "      <td id=\"T_7a404_row1_col1\" class=\"data row1 col1\" ><strong>route_from</strong><br>[object]</td>\n",
       "      <td id=\"T_7a404_row1_col2\" class=\"data row1 col2\" >1. Chennai Lighthouse<br>2. Chennai Citi Centre<br>3. PVR Ampa SkyOne<br>4. Express Avenue Mall<br>5. Marina Beach<br>6. Semmozhi Poonga<br>7. Sai Baba Temple Mylapore</td>\n",
       "      <td id=\"T_7a404_row1_col3\" class=\"data row1 col3\" >2,946 (15.7%)<br>2,862 (15.2%)<br>2,634 (14.0%)<br>2,628 (14.0%)<br>2,628 (14.0%)<br>2,550 (13.6%)<br>2,544 (13.5%)</td>\n",
       "      <td id=\"T_7a404_row1_col4\" class=\"data row1 col4\" ><img src = \"data:image/png;base64, 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\"></img></td>\n",
       "      <td id=\"T_7a404_row1_col5\" class=\"data row1 col5\" >0<br>(0.0%)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_7a404_row2_col0\" class=\"data row2 col0\" >3</td>\n",
       "      <td id=\"T_7a404_row2_col1\" class=\"data row2 col1\" ><strong>route_to</strong><br>[object]</td>\n",
       "      <td id=\"T_7a404_row2_col2\" class=\"data row2 col2\" >1. Chennai Lighthouse<br>2. Marina Beach<br>3. PVR Ampa SkyOne<br>4. Express Avenue Mall<br>5. Sai Baba Temple Mylapore<br>6. Semmozhi Poonga<br>7. Chennai Citi Centre<br>8. CitiCenter</td>\n",
       "      <td id=\"T_7a404_row2_col3\" class=\"data row2 col3\" >2,940 (15.6%)<br>2,610 (13.9%)<br>2,604 (13.9%)<br>2,598 (13.8%)<br>2,598 (13.8%)<br>2,550 (13.6%)<br>2,388 (12.7%)<br>504 (2.7%)</td>\n",
       "      <td id=\"T_7a404_row2_col4\" class=\"data row2 col4\" ><img src = \"data:image/png;base64, iVBORw0KGgoAAAANSUhEUgAAAJsAAAC4CAYAAAD0WZ4UAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjkuMiwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy8hTgPZAAAACXBIWXMAAA9hAAAPYQGoP6dpAAAC+UlEQVR4nO3cMU4bUQBF0e/IQqGxZSGxGBaRxWYR3g1CTBEQjVOkMrap/G9kcc4CZiiuvjWjeawOh8OAwo///QfwfYiNjNjIiI2M2MiIjcxqjHE/xribeI+Pw+HwNvH63Ij1w8PDr81ms5t1g2VZXlar1W/Bsd5sNrunp6e37Xb7fu2Lv76+/tzv97vn5+e7MYbYvrn1GGNst9v3x8fHP5PucT/putwYDwhkxEZGbGTERkZsZMRGRmxkxEZGbGTERkZsZMRGRmxk1mP8+xRoxsVnXZfbtF6W5WW/3+/GpE+BlmV5GWN8zLg2t8Vn4WRW/v0ClZknmxONI9MGL4YufDZl8GLowjkzBy+GLhzxUpeM2MiIjYzYyIiNjNjIiI2M2MiIjYzYyIiNjNjIiI3MlMGLoQvnTBu8GLrwmc/CyRi8kPGAQGbWz6ifUE5MWVdZVnHO1ddVllVcMmtdZVnFCQ8IZMRGRmxkxEZGbGTERkZsZMRGRmxkxEZGbGTERkZsZK6+rrKs4pIp6yrLKs7xWTgZ6yoyTjYyBi9kDF7IGLyQ8VKXjNjIiI2M2MiIjYzYyIiNjNjIiI2M2MiIjYzYyIiNjMELGYMXMj4LJ2PwQsYDAhk/o2Ssq8hYV5GxriLjAYGM2MiIjYzYyIiNjNjIiI2M2MiIjYzYyIiNjNjIiI2MdRUZ6yoyPgsnY11FxslGxuCFjMELGYMXMl7qkhEbGbGRERsZsZERGxmxkREbGbGRERsZsZERGxmxkREbGesqMtZVZGwQyFhXkZlxsjnVOOvq6yrLKi656rrKsoqvzFhXWVZxlpe6ZMRGRmxkxEZGbGTERkZsZMRGRmxkxEZGbGTERkZsZK46eDF24StXH7wYu3CJz8LJGLyQOXeyOZmY4mTwYrDCLEeDF4MVZjo3eDFYYQovdcmIjYzYyIiNjNjIiI2M2MiIjYzYyIiNjNjIiI2M2MiIjczRuso6iplO1lXWUcxig0DGuoqMBwQyYiMjNjJiIyM2Mn8BFg6uhHpbwY4AAAAASUVORK5CYII=\"></img></td>\n",
       "      <td id=\"T_7a404_row2_col5\" class=\"data row2 col5\" >0<br>(0.0%)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_7a404_row3_col0\" class=\"data row3 col0\" >4</td>\n",
       "      <td id=\"T_7a404_row3_col1\" class=\"data row3 col1\" ><strong>ride_type</strong><br>[object]</td>\n",
       "      <td id=\"T_7a404_row3_col2\" class=\"data row3 col2\" >1. Uber Auto<br>2. Uber Go<br>3. Moto<br>4. Premier<br>5. Go Sedan<br>6. UberXL</td>\n",
       "      <td id=\"T_7a404_row3_col3\" class=\"data row3 col3\" >3,132 (16.7%)<br>3,132 (16.7%)<br>3,132 (16.7%)<br>3,132 (16.7%)<br>3,132 (16.7%)<br>3,132 (16.7%)</td>\n",
       "      <td id=\"T_7a404_row3_col4\" class=\"data row3 col4\" ><img src = \"data:image/png;base64, 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\"></img></td>\n",
       "      <td id=\"T_7a404_row3_col5\" class=\"data row3 col5\" >0<br>(0.0%)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_7a404_row4_col0\" class=\"data row4 col0\" >5</td>\n",
       "      <td id=\"T_7a404_row4_col1\" class=\"data row4 col1\" ><strong>ride_max_persons</strong><br>[float64]</td>\n",
       "      <td id=\"T_7a404_row4_col2\" class=\"data row4 col2\" >1. 4.0<br>2. 3.0<br>3. 1.0<br>4. 6.0</td>\n",
       "      <td id=\"T_7a404_row4_col3\" class=\"data row4 col3\" >9,396 (50.0%)<br>3,132 (16.7%)<br>3,132 (16.7%)<br>3,132 (16.7%)</td>\n",
       "      <td id=\"T_7a404_row4_col4\" class=\"data row4 col4\" ><img src = \"data:image/png;base64, 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\"></img></td>\n",
       "      <td id=\"T_7a404_row4_col5\" class=\"data row4 col5\" >0<br>(0.0%)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_7a404_row5_col0\" class=\"data row5 col0\" >6</td>\n",
       "      <td id=\"T_7a404_row5_col1\" class=\"data row5 col1\" ><strong>ride_request_time</strong><br>[object]</td>\n",
       "      <td id=\"T_7a404_row5_col2\" class=\"data row5 col2\" >1. 09:00:09<br>2. 09:02:50<br>3. 11:00:09<br>4. 10:00:10<br>5. 16:00:09<br>6. 11:02:12<br>7. 09:02:41<br>8. 19:02:28<br>9. 11:03:16<br>10. 11:02:21<br>11. other</td>\n",
       "      <td id=\"T_7a404_row5_col3\" class=\"data row5 col3\" >24 (0.1%)<br>24 (0.1%)<br>23 (0.1%)<br>20 (0.1%)<br>19 (0.1%)<br>18 (0.1%)<br>18 (0.1%)<br>18 (0.1%)<br>18 (0.1%)<br>18 (0.1%)<br>18,592 (98.9%)</td>\n",
       "      <td id=\"T_7a404_row5_col4\" class=\"data row5 col4\" ><img src = \"data:image/png;base64, iVBORw0KGgoAAAANSUhEUgAAAJsAAAD+CAYAAAAtWHdlAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjkuMiwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy8hTgPZAAAACXBIWXMAAA9hAAAPYQGoP6dpAAADXElEQVR4nO3cwWkbYRRG0TdGOPZGQhhcQtKDi0ixKUJFpAdjPIvY8WaySBYpINwB5ZwK/sWFh2A+Ldu2DRRu9n4A/w+xkREbGbGRERsZsZERGxmxkREbGbGRuVmW5cuyLHd7P4TrdzMzn2fm094P4fo5o2TERkZsZMRGRmxkxEZGbGTERkZsZMRGRmxkxEZGbGTERkZsZMRG5mZmvs/Mz70fwvVb/IsRFWeUjNjIWFeRsa4i44ySERsZsZERGxmxkREbGbGRERsZsZERGxmxkREbGbGRERsZsZExeCFj8ELGGSUjNjIGL2QMXsg4o2TERkZsZMRGRmxkxEZGbGTERkZsZMRGRmxkxEZGbGTERkZsZAxeyBi8kHFGyYiNjNjIWFeRsa4i44ySERsZsZERGxmxkREbGbGRERsZsZERGxmxkREbGbGRERsZsZGxriJjXUXGGSUjNjIGL2QMXsg4o2TERkZsZMRGRmxkxEZGbGTERkZsZMRGRmxkxEZGbGTERkZsZAxeyBi8kHFGyYiNjMELGYMXMs4oGbGRERsZsZERGxmxkREbGbGRERsZsZERGxmxkREbGbGRERsZsZGxriJjXUXGGSUjNjLWVWSsq8g4o2TERkZsZMRGRmxkxEZGbGTERkZsZMRGRmxkxEZGbGTERkZsZAxeyBi8kHFGyYiNjMELGYMXMs4oGbGRERsZsZERGxmxkREbGbGRERsZsZERGxmxkREbGbGRERsZgxcyBi9knFEyYiMjNjLWVWSsq8g4o2TERkZsZMRGRmxkxEZGbGTERkZsZMRGRmxkxEZGbGTERkZsZKyryFhXkXFGyYiNjMELGYMXMs4oGbGRERsZsZERGxmxkREbGbGRERsZsZERGxmxkREbGbGRERsZgxcyBi9knFEyy8zcz8zt3g/hqn1s2/Z2eHh4+Ho8Hs97v4brta7ry7Is3w7H4/H89PT0djqd3vd+FNfn9fX17nK5nJ+fn28PMzOn0+n98fHxx94P42rdz/iBQEhsZMRGRmxkxEZGbGTERkZsZMRGRmxkxEZGbGTERuYw8/szkL0fwnX6u63Duq4vl8vlPH8+A4F/bV3Xl5n58Fk4hY9t296sq8j4gUBGbGTERkZsZMRGRmxkxEZGbGTERuYXwgdpOf758ysAAAAASUVORK5CYII=\"></img></td>\n",
       "      <td id=\"T_7a404_row5_col5\" class=\"data row5 col5\" >0<br>(0.0%)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_7a404_row6_col0\" class=\"data row6 col0\" >7</td>\n",
       "      <td id=\"T_7a404_row6_col1\" class=\"data row6 col1\" ><strong>ride_waiting_time</strong><br>[float64]</td>\n",
       "      <td id=\"T_7a404_row6_col2\" class=\"data row6 col2\" >Mean (sd) : 4.2 (2.4)<br>min < med < max:<br>1.0 < 4.0 < 13.0<br>IQR (CV) : 4.0 (1.8)</td>\n",
       "      <td id=\"T_7a404_row6_col3\" class=\"data row6 col3\" >13 distinct values</td>\n",
       "      <td id=\"T_7a404_row6_col4\" class=\"data row6 col4\" ><img src = \"data:image/png;base64, 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\"></img></td>\n",
       "      <td id=\"T_7a404_row6_col5\" class=\"data row6 col5\" >0<br>(0.0%)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_7a404_row7_col0\" class=\"data row7 col0\" >8</td>\n",
       "      <td id=\"T_7a404_row7_col1\" class=\"data row7 col1\" ><strong>ride_request_date</strong><br>[object]</td>\n",
       "      <td id=\"T_7a404_row7_col2\" class=\"data row7 col2\" >1. 2024-09-11<br>2. 2024-09-13<br>3. 2024-09-12<br>4. 2024-09-16<br>5. 2024-09-10<br>6. 2024-09-14<br>7. 2024-09-15</td>\n",
       "      <td id=\"T_7a404_row7_col3\" class=\"data row7 col3\" >4,038 (21.5%)<br>3,138 (16.7%)<br>3,048 (16.2%)<br>2,550 (13.6%)<br>2,478 (13.2%)<br>1,920 (10.2%)<br>1,620 (8.6%)</td>\n",
       "      <td id=\"T_7a404_row7_col4\" class=\"data row7 col4\" ><img src = \"data:image/png;base64, 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\"></img></td>\n",
       "      <td id=\"T_7a404_row7_col5\" class=\"data row7 col5\" >0<br>(0.0%)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_7a404_row8_col0\" class=\"data row8 col0\" >9</td>\n",
       "      <td id=\"T_7a404_row8_col1\" class=\"data row8 col1\" ><strong>ride_reaching_time</strong><br>[object]</td>\n",
       "      <td id=\"T_7a404_row8_col2\" class=\"data row8 col2\" >1. 11:18:00<br>2. 11:19:00<br>3. 13:21:00<br>4. 13:20:00<br>5. 10:23:00<br>6. 13:19:00<br>7. 14:20:00<br>8. 12:19:00<br>9. 16:23:00<br>10. 10:22:00<br>11. other</td>\n",
       "      <td id=\"T_7a404_row8_col3\" class=\"data row8 col3\" >87 (0.5%)<br>85 (0.5%)<br>84 (0.4%)<br>77 (0.4%)<br>75 (0.4%)<br>74 (0.4%)<br>74 (0.4%)<br>73 (0.4%)<br>72 (0.4%)<br>70 (0.4%)<br>18,021 (95.9%)</td>\n",
       "      <td id=\"T_7a404_row8_col4\" class=\"data row8 col4\" ><img src = \"data:image/png;base64, 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\"></img></td>\n",
       "      <td id=\"T_7a404_row8_col5\" class=\"data row8 col5\" >0<br>(0.0%)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_7a404_row9_col0\" class=\"data row9 col0\" >10</td>\n",
       "      <td id=\"T_7a404_row9_col1\" class=\"data row9 col1\" ><strong>ride_time</strong><br>[object]</td>\n",
       "      <td id=\"T_7a404_row9_col2\" class=\"data row9 col2\" >1. 0:06:51<br>2. 0:08:41<br>3. 0:07:51<br>4. 0:07:50<br>5. 0:15:31<br>6. 0:09:41<br>7. 0:06:50<br>8. 0:13:58<br>9. 0:14:01<br>10. 0:14:16<br>11. other</td>\n",
       "      <td id=\"T_7a404_row9_col3\" class=\"data row9 col3\" >78 (0.4%)<br>67 (0.4%)<br>62 (0.3%)<br>61 (0.3%)<br>48 (0.3%)<br>48 (0.3%)<br>47 (0.3%)<br>46 (0.2%)<br>44 (0.2%)<br>44 (0.2%)<br>18,247 (97.1%)</td>\n",
       "      <td id=\"T_7a404_row9_col4\" class=\"data row9 col4\" ><img src = \"data:image/png;base64, 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\"></img></td>\n",
       "      <td id=\"T_7a404_row9_col5\" class=\"data row9 col5\" >0<br>(0.0%)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_7a404_row10_col0\" class=\"data row10 col0\" >11</td>\n",
       "      <td id=\"T_7a404_row10_col1\" class=\"data row10 col1\" ><strong>ride_price</strong><br>[float64]</td>\n",
       "      <td id=\"T_7a404_row10_col2\" class=\"data row10 col2\" >Mean (sd) : 189.3 (110.9)<br>min < med < max:<br>17.4 < 176.8 < 809.3<br>IQR (CV) : 139.3 (1.7)</td>\n",
       "      <td id=\"T_7a404_row10_col3\" class=\"data row10 col3\" >13,417 distinct values</td>\n",
       "      <td id=\"T_7a404_row10_col4\" class=\"data row10 col4\" ><img src = \"data:image/png;base64, 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\"></img></td>\n",
       "      <td id=\"T_7a404_row10_col5\" class=\"data row10 col5\" >0<br>(0.0%)</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n"
      ],
      "text/plain": [
       "<pandas.io.formats.style.Styler at 0x15c24a9d0>"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dfSummary(df)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "2cdc85f5-c3a9-4104-bbfb-484b1ba6347c",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>id</th>\n",
       "      <th>route_from</th>\n",
       "      <th>route_to</th>\n",
       "      <th>ride_type</th>\n",
       "      <th>ride_max_persons</th>\n",
       "      <th>ride_request_time</th>\n",
       "      <th>ride_waiting_time</th>\n",
       "      <th>ride_request_date</th>\n",
       "      <th>ride_reaching_time</th>\n",
       "      <th>ride_time</th>\n",
       "      <th>ride_price</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1</td>\n",
       "      <td>Chennai Lighthouse</td>\n",
       "      <td>Chennai Citi Centre</td>\n",
       "      <td>Uber Auto</td>\n",
       "      <td>3.0</td>\n",
       "      <td>16:34:22</td>\n",
       "      <td>2.0</td>\n",
       "      <td>2024-09-10</td>\n",
       "      <td>16:43:00</td>\n",
       "      <td>0:06:38</td>\n",
       "      <td>70.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   id          route_from             route_to  ride_type  ride_max_persons  \\\n",
       "0   1  Chennai Lighthouse  Chennai Citi Centre  Uber Auto               3.0   \n",
       "\n",
       "  ride_request_time  ride_waiting_time ride_request_date ride_reaching_time  \\\n",
       "0          16:34:22                2.0        2024-09-10           16:43:00   \n",
       "\n",
       "  ride_time  ride_price  \n",
       "0   0:06:38        70.0  "
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.head(1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "9045e61c-c786-4a05-a417-4c197c85292a",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "id                      int64\n",
       "route_from             object\n",
       "route_to               object\n",
       "ride_type              object\n",
       "ride_max_persons      float64\n",
       "ride_request_time      object\n",
       "ride_waiting_time     float64\n",
       "ride_request_date      object\n",
       "ride_reaching_time     object\n",
       "ride_time              object\n",
       "ride_price            float64\n",
       "dtype: object"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.dtypes"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "3e2ff45b-5e23-4b46-83e7-d316053c5e82",
   "metadata": {},
   "source": [
    "# 3. Data Preprocessing"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "1cf6c85e-11bd-44ad-87e1-ea6e191f9719",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/var/folders/ng/411k2bk11d540st5s0w7gdch0000gn/T/ipykernel_87732/3198539687.py:12: FutureWarning: 'H' is deprecated and will be removed in a future version, please use 'h' instead.\n",
      "  df['ride_time_request_clean'] = df['ride_request_time'].dt.round('H').dt.time\n"
     ]
    }
   ],
   "source": [
    "# Convert ride_request_time to proper datetime\n",
    "df['ride_request_time'] = pd.to_datetime(df['ride_request_date'] + ' ' + df['ride_request_time'])\n",
    "\n",
    "# Drop unnecessary columns\n",
    "df = df.drop(columns=['id', 'ride_reaching_time'])\n",
    "\n",
    "# Convert 'ride_time' to total seconds and then to minutes\n",
    "df['ride_time_seconds'] = pd.to_timedelta(df['ride_time']).dt.total_seconds()\n",
    "df['ride_time_minutes'] = df['ride_time_seconds'] / 60\n",
    "\n",
    "# Create 'ride_time_request_clean' by rounding the ride_request_time to the nearest hour\n",
    "df['ride_time_request_clean'] = df['ride_request_time'].dt.round('H').dt.time\n",
    "\n",
    "# Group by 'route_from', 'route_to', 'ride_request_date', 'ride_time_request_clean', and 'ride_type'\n",
    "grouped = df.groupby(['route_from', 'route_to', 'ride_request_date', 'ride_time_request_clean', 'ride_type'], as_index=False).agg({\n",
    "    'ride_price': 'mean',\n",
    "    'ride_max_persons': 'mean',\n",
    "    'ride_waiting_time': 'mean',\n",
    "    'ride_time_minutes': 'mean'  # Use ride_time_minutes for time-related calculations\n",
    "})\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "36526aae-dee2-4801-96a7-0268b08c284d",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>route_from</th>\n",
       "      <th>route_to</th>\n",
       "      <th>ride_request_date</th>\n",
       "      <th>ride_time_request_clean</th>\n",
       "      <th>ride_type</th>\n",
       "      <th>ride_price</th>\n",
       "      <th>ride_max_persons</th>\n",
       "      <th>ride_waiting_time</th>\n",
       "      <th>ride_time_minutes</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Chennai Citi Centre</td>\n",
       "      <td>Chennai Lighthouse</td>\n",
       "      <td>2024-09-10</td>\n",
       "      <td>17:00:00</td>\n",
       "      <td>Go Sedan</td>\n",
       "      <td>147.06</td>\n",
       "      <td>4.0</td>\n",
       "      <td>6.000000</td>\n",
       "      <td>7.983333</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Chennai Citi Centre</td>\n",
       "      <td>Chennai Lighthouse</td>\n",
       "      <td>2024-09-10</td>\n",
       "      <td>17:00:00</td>\n",
       "      <td>Moto</td>\n",
       "      <td>35.416667</td>\n",
       "      <td>1.0</td>\n",
       "      <td>5.333333</td>\n",
       "      <td>7.983333</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Chennai Citi Centre</td>\n",
       "      <td>Chennai Lighthouse</td>\n",
       "      <td>2024-09-10</td>\n",
       "      <td>17:00:00</td>\n",
       "      <td>Premier</td>\n",
       "      <td>199.183333</td>\n",
       "      <td>4.0</td>\n",
       "      <td>6.000000</td>\n",
       "      <td>8.316667</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Chennai Citi Centre</td>\n",
       "      <td>Chennai Lighthouse</td>\n",
       "      <td>2024-09-10</td>\n",
       "      <td>17:00:00</td>\n",
       "      <td>Uber Auto</td>\n",
       "      <td>70.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1.333333</td>\n",
       "      <td>7.650000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Chennai Citi Centre</td>\n",
       "      <td>Chennai Lighthouse</td>\n",
       "      <td>2024-09-10</td>\n",
       "      <td>17:00:00</td>\n",
       "      <td>Uber Go</td>\n",
       "      <td>143.01</td>\n",
       "      <td>4.0</td>\n",
       "      <td>6.000000</td>\n",
       "      <td>8.650000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21439</th>\n",
       "      <td>Semmozhi Poonga</td>\n",
       "      <td>Sai Baba Temple Mylapore</td>\n",
       "      <td>2024-09-19</td>\n",
       "      <td>13:00:00</td>\n",
       "      <td>Moto</td>\n",
       "      <td>56.33</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>17.266667</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21440</th>\n",
       "      <td>Semmozhi Poonga</td>\n",
       "      <td>Sai Baba Temple Mylapore</td>\n",
       "      <td>2024-09-19</td>\n",
       "      <td>13:00:00</td>\n",
       "      <td>Premier</td>\n",
       "      <td>304.01</td>\n",
       "      <td>4.0</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>19.266667</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21441</th>\n",
       "      <td>Semmozhi Poonga</td>\n",
       "      <td>Sai Baba Temple Mylapore</td>\n",
       "      <td>2024-09-19</td>\n",
       "      <td>13:00:00</td>\n",
       "      <td>Uber Auto</td>\n",
       "      <td>129.2</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>18.266667</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21442</th>\n",
       "      <td>Semmozhi Poonga</td>\n",
       "      <td>Sai Baba Temple Mylapore</td>\n",
       "      <td>2024-09-19</td>\n",
       "      <td>13:00:00</td>\n",
       "      <td>Uber Go</td>\n",
       "      <td>185.37</td>\n",
       "      <td>4.0</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>20.266667</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21443</th>\n",
       "      <td>Semmozhi Poonga</td>\n",
       "      <td>Sai Baba Temple Mylapore</td>\n",
       "      <td>2024-09-19</td>\n",
       "      <td>13:00:00</td>\n",
       "      <td>UberXL</td>\n",
       "      <td>384.7</td>\n",
       "      <td>6.0</td>\n",
       "      <td>7.000000</td>\n",
       "      <td>19.266667</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>21444 rows × 9 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                route_from                  route_to ride_request_date  \\\n",
       "0      Chennai Citi Centre        Chennai Lighthouse        2024-09-10   \n",
       "1      Chennai Citi Centre        Chennai Lighthouse        2024-09-10   \n",
       "2      Chennai Citi Centre        Chennai Lighthouse        2024-09-10   \n",
       "3      Chennai Citi Centre        Chennai Lighthouse        2024-09-10   \n",
       "4      Chennai Citi Centre        Chennai Lighthouse        2024-09-10   \n",
       "...                    ...                       ...               ...   \n",
       "21439      Semmozhi Poonga  Sai Baba Temple Mylapore        2024-09-19   \n",
       "21440      Semmozhi Poonga  Sai Baba Temple Mylapore        2024-09-19   \n",
       "21441      Semmozhi Poonga  Sai Baba Temple Mylapore        2024-09-19   \n",
       "21442      Semmozhi Poonga  Sai Baba Temple Mylapore        2024-09-19   \n",
       "21443      Semmozhi Poonga  Sai Baba Temple Mylapore        2024-09-19   \n",
       "\n",
       "      ride_time_request_clean  ride_type  ride_price  ride_max_persons  \\\n",
       "0                    17:00:00   Go Sedan      147.06               4.0   \n",
       "1                    17:00:00       Moto   35.416667               1.0   \n",
       "2                    17:00:00    Premier  199.183333               4.0   \n",
       "3                    17:00:00  Uber Auto        70.0               3.0   \n",
       "4                    17:00:00    Uber Go      143.01               4.0   \n",
       "...                       ...        ...         ...               ...   \n",
       "21439                13:00:00       Moto       56.33               1.0   \n",
       "21440                13:00:00    Premier      304.01               4.0   \n",
       "21441                13:00:00  Uber Auto       129.2               3.0   \n",
       "21442                13:00:00    Uber Go      185.37               4.0   \n",
       "21443                13:00:00     UberXL       384.7               6.0   \n",
       "\n",
       "       ride_waiting_time  ride_time_minutes  \n",
       "0               6.000000           7.983333  \n",
       "1               5.333333           7.983333  \n",
       "2               6.000000           8.316667  \n",
       "3               1.333333           7.650000  \n",
       "4               6.000000           8.650000  \n",
       "...                  ...                ...  \n",
       "21439           2.000000          17.266667  \n",
       "21440           3.000000          19.266667  \n",
       "21441           1.000000          18.266667  \n",
       "21442           2.000000          20.266667  \n",
       "21443           7.000000          19.266667  \n",
       "\n",
       "[21444 rows x 9 columns]"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "grouped"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "aa78a649-fdea-4dad-b6a9-4fa0e9820493",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "route_from                  object\n",
       "route_to                    object\n",
       "ride_request_date           object\n",
       "ride_time_request_clean     object\n",
       "ride_type                   object\n",
       "ride_price                  object\n",
       "ride_max_persons           float64\n",
       "ride_waiting_time          float64\n",
       "ride_time_minutes          float64\n",
       "dtype: object"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "grouped.dtypes"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "be10811a-ccfd-44b0-8266-74f8679e459d",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Convert 'ride_request_date' to datetime (date only)\n",
    "grouped['ride_request_date'] = pd.to_datetime(grouped['ride_request_date'], format='%Y-%m-%d')\n",
    "\n",
    "# Convert 'ride_time_request_clean' to a string (if it's not already)\n",
    "grouped['ride_time_request_clean'] = grouped['ride_time_request_clean'].astype(str)\n",
    "\n",
    "# Combine 'ride_request_date' and 'ride_time_request_clean'\n",
    "grouped['ride_datetime'] = pd.to_datetime(grouped['ride_request_date'].astype(str) + ' ' + grouped['ride_time_request_clean'])\n",
    "\n",
    "# Extract the hour from the combined datetime\n",
    "grouped['hour'] = grouped['ride_datetime'].dt.hour\n",
    "grouped['day_of_week'] = grouped['ride_datetime'].dt.dayofweek"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "f3af8216-a373-41d6-badd-dcd7a66051e7",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>route_from</th>\n",
       "      <th>route_to</th>\n",
       "      <th>ride_request_date</th>\n",
       "      <th>ride_time_request_clean</th>\n",
       "      <th>ride_type</th>\n",
       "      <th>ride_price</th>\n",
       "      <th>ride_max_persons</th>\n",
       "      <th>ride_waiting_time</th>\n",
       "      <th>ride_time_minutes</th>\n",
       "      <th>ride_datetime</th>\n",
       "      <th>hour</th>\n",
       "      <th>day_of_week</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Chennai Citi Centre</td>\n",
       "      <td>Chennai Lighthouse</td>\n",
       "      <td>2024-09-10</td>\n",
       "      <td>17:00:00</td>\n",
       "      <td>Go Sedan</td>\n",
       "      <td>147.06</td>\n",
       "      <td>4.0</td>\n",
       "      <td>6.000000</td>\n",
       "      <td>7.983333</td>\n",
       "      <td>2024-09-10 17:00:00</td>\n",
       "      <td>17</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Chennai Citi Centre</td>\n",
       "      <td>Chennai Lighthouse</td>\n",
       "      <td>2024-09-10</td>\n",
       "      <td>17:00:00</td>\n",
       "      <td>Moto</td>\n",
       "      <td>35.416667</td>\n",
       "      <td>1.0</td>\n",
       "      <td>5.333333</td>\n",
       "      <td>7.983333</td>\n",
       "      <td>2024-09-10 17:00:00</td>\n",
       "      <td>17</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Chennai Citi Centre</td>\n",
       "      <td>Chennai Lighthouse</td>\n",
       "      <td>2024-09-10</td>\n",
       "      <td>17:00:00</td>\n",
       "      <td>Premier</td>\n",
       "      <td>199.183333</td>\n",
       "      <td>4.0</td>\n",
       "      <td>6.000000</td>\n",
       "      <td>8.316667</td>\n",
       "      <td>2024-09-10 17:00:00</td>\n",
       "      <td>17</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Chennai Citi Centre</td>\n",
       "      <td>Chennai Lighthouse</td>\n",
       "      <td>2024-09-10</td>\n",
       "      <td>17:00:00</td>\n",
       "      <td>Uber Auto</td>\n",
       "      <td>70.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1.333333</td>\n",
       "      <td>7.650000</td>\n",
       "      <td>2024-09-10 17:00:00</td>\n",
       "      <td>17</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Chennai Citi Centre</td>\n",
       "      <td>Chennai Lighthouse</td>\n",
       "      <td>2024-09-10</td>\n",
       "      <td>17:00:00</td>\n",
       "      <td>Uber Go</td>\n",
       "      <td>143.01</td>\n",
       "      <td>4.0</td>\n",
       "      <td>6.000000</td>\n",
       "      <td>8.650000</td>\n",
       "      <td>2024-09-10 17:00:00</td>\n",
       "      <td>17</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21439</th>\n",
       "      <td>Semmozhi Poonga</td>\n",
       "      <td>Sai Baba Temple Mylapore</td>\n",
       "      <td>2024-09-19</td>\n",
       "      <td>13:00:00</td>\n",
       "      <td>Moto</td>\n",
       "      <td>56.33</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>17.266667</td>\n",
       "      <td>2024-09-19 13:00:00</td>\n",
       "      <td>13</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21440</th>\n",
       "      <td>Semmozhi Poonga</td>\n",
       "      <td>Sai Baba Temple Mylapore</td>\n",
       "      <td>2024-09-19</td>\n",
       "      <td>13:00:00</td>\n",
       "      <td>Premier</td>\n",
       "      <td>304.01</td>\n",
       "      <td>4.0</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>19.266667</td>\n",
       "      <td>2024-09-19 13:00:00</td>\n",
       "      <td>13</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21441</th>\n",
       "      <td>Semmozhi Poonga</td>\n",
       "      <td>Sai Baba Temple Mylapore</td>\n",
       "      <td>2024-09-19</td>\n",
       "      <td>13:00:00</td>\n",
       "      <td>Uber Auto</td>\n",
       "      <td>129.2</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>18.266667</td>\n",
       "      <td>2024-09-19 13:00:00</td>\n",
       "      <td>13</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21442</th>\n",
       "      <td>Semmozhi Poonga</td>\n",
       "      <td>Sai Baba Temple Mylapore</td>\n",
       "      <td>2024-09-19</td>\n",
       "      <td>13:00:00</td>\n",
       "      <td>Uber Go</td>\n",
       "      <td>185.37</td>\n",
       "      <td>4.0</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>20.266667</td>\n",
       "      <td>2024-09-19 13:00:00</td>\n",
       "      <td>13</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21443</th>\n",
       "      <td>Semmozhi Poonga</td>\n",
       "      <td>Sai Baba Temple Mylapore</td>\n",
       "      <td>2024-09-19</td>\n",
       "      <td>13:00:00</td>\n",
       "      <td>UberXL</td>\n",
       "      <td>384.7</td>\n",
       "      <td>6.0</td>\n",
       "      <td>7.000000</td>\n",
       "      <td>19.266667</td>\n",
       "      <td>2024-09-19 13:00:00</td>\n",
       "      <td>13</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>21444 rows × 12 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                route_from                  route_to ride_request_date  \\\n",
       "0      Chennai Citi Centre        Chennai Lighthouse        2024-09-10   \n",
       "1      Chennai Citi Centre        Chennai Lighthouse        2024-09-10   \n",
       "2      Chennai Citi Centre        Chennai Lighthouse        2024-09-10   \n",
       "3      Chennai Citi Centre        Chennai Lighthouse        2024-09-10   \n",
       "4      Chennai Citi Centre        Chennai Lighthouse        2024-09-10   \n",
       "...                    ...                       ...               ...   \n",
       "21439      Semmozhi Poonga  Sai Baba Temple Mylapore        2024-09-19   \n",
       "21440      Semmozhi Poonga  Sai Baba Temple Mylapore        2024-09-19   \n",
       "21441      Semmozhi Poonga  Sai Baba Temple Mylapore        2024-09-19   \n",
       "21442      Semmozhi Poonga  Sai Baba Temple Mylapore        2024-09-19   \n",
       "21443      Semmozhi Poonga  Sai Baba Temple Mylapore        2024-09-19   \n",
       "\n",
       "      ride_time_request_clean  ride_type  ride_price  ride_max_persons  \\\n",
       "0                    17:00:00   Go Sedan      147.06               4.0   \n",
       "1                    17:00:00       Moto   35.416667               1.0   \n",
       "2                    17:00:00    Premier  199.183333               4.0   \n",
       "3                    17:00:00  Uber Auto        70.0               3.0   \n",
       "4                    17:00:00    Uber Go      143.01               4.0   \n",
       "...                       ...        ...         ...               ...   \n",
       "21439                13:00:00       Moto       56.33               1.0   \n",
       "21440                13:00:00    Premier      304.01               4.0   \n",
       "21441                13:00:00  Uber Auto       129.2               3.0   \n",
       "21442                13:00:00    Uber Go      185.37               4.0   \n",
       "21443                13:00:00     UberXL       384.7               6.0   \n",
       "\n",
       "       ride_waiting_time  ride_time_minutes       ride_datetime  hour  \\\n",
       "0               6.000000           7.983333 2024-09-10 17:00:00    17   \n",
       "1               5.333333           7.983333 2024-09-10 17:00:00    17   \n",
       "2               6.000000           8.316667 2024-09-10 17:00:00    17   \n",
       "3               1.333333           7.650000 2024-09-10 17:00:00    17   \n",
       "4               6.000000           8.650000 2024-09-10 17:00:00    17   \n",
       "...                  ...                ...                 ...   ...   \n",
       "21439           2.000000          17.266667 2024-09-19 13:00:00    13   \n",
       "21440           3.000000          19.266667 2024-09-19 13:00:00    13   \n",
       "21441           1.000000          18.266667 2024-09-19 13:00:00    13   \n",
       "21442           2.000000          20.266667 2024-09-19 13:00:00    13   \n",
       "21443           7.000000          19.266667 2024-09-19 13:00:00    13   \n",
       "\n",
       "       day_of_week  \n",
       "0                1  \n",
       "1                1  \n",
       "2                1  \n",
       "3                1  \n",
       "4                1  \n",
       "...            ...  \n",
       "21439            3  \n",
       "21440            3  \n",
       "21441            3  \n",
       "21442            3  \n",
       "21443            3  \n",
       "\n",
       "[21444 rows x 12 columns]"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "grouped"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "34cc41cc-cf17-4f4b-82e2-b4806bc8b909",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Load your cleaned dataset\n",
    "df = pd.DataFrame(grouped)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "9745a54c-ac1a-410d-8b22-2e650867ec96",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>route_from</th>\n",
       "      <th>route_to</th>\n",
       "      <th>ride_type</th>\n",
       "      <th>ride_max_persons</th>\n",
       "      <th>hour</th>\n",
       "      <th>day_of_week</th>\n",
       "      <th>ride_waiting_time</th>\n",
       "      <th>ride_time_minutes</th>\n",
       "      <th>ride_price</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Chennai Citi Centre</td>\n",
       "      <td>Chennai Lighthouse</td>\n",
       "      <td>Go Sedan</td>\n",
       "      <td>4.0</td>\n",
       "      <td>17</td>\n",
       "      <td>1</td>\n",
       "      <td>6.000000</td>\n",
       "      <td>7.983333</td>\n",
       "      <td>147.06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Chennai Citi Centre</td>\n",
       "      <td>Chennai Lighthouse</td>\n",
       "      <td>Moto</td>\n",
       "      <td>1.0</td>\n",
       "      <td>17</td>\n",
       "      <td>1</td>\n",
       "      <td>5.333333</td>\n",
       "      <td>7.983333</td>\n",
       "      <td>35.416667</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Chennai Citi Centre</td>\n",
       "      <td>Chennai Lighthouse</td>\n",
       "      <td>Premier</td>\n",
       "      <td>4.0</td>\n",
       "      <td>17</td>\n",
       "      <td>1</td>\n",
       "      <td>6.000000</td>\n",
       "      <td>8.316667</td>\n",
       "      <td>199.183333</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Chennai Citi Centre</td>\n",
       "      <td>Chennai Lighthouse</td>\n",
       "      <td>Uber Auto</td>\n",
       "      <td>3.0</td>\n",
       "      <td>17</td>\n",
       "      <td>1</td>\n",
       "      <td>1.333333</td>\n",
       "      <td>7.650000</td>\n",
       "      <td>70.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Chennai Citi Centre</td>\n",
       "      <td>Chennai Lighthouse</td>\n",
       "      <td>Uber Go</td>\n",
       "      <td>4.0</td>\n",
       "      <td>17</td>\n",
       "      <td>1</td>\n",
       "      <td>6.000000</td>\n",
       "      <td>8.650000</td>\n",
       "      <td>143.01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21439</th>\n",
       "      <td>Semmozhi Poonga</td>\n",
       "      <td>Sai Baba Temple Mylapore</td>\n",
       "      <td>Moto</td>\n",
       "      <td>1.0</td>\n",
       "      <td>13</td>\n",
       "      <td>3</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>17.266667</td>\n",
       "      <td>56.33</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21440</th>\n",
       "      <td>Semmozhi Poonga</td>\n",
       "      <td>Sai Baba Temple Mylapore</td>\n",
       "      <td>Premier</td>\n",
       "      <td>4.0</td>\n",
       "      <td>13</td>\n",
       "      <td>3</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>19.266667</td>\n",
       "      <td>304.01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21441</th>\n",
       "      <td>Semmozhi Poonga</td>\n",
       "      <td>Sai Baba Temple Mylapore</td>\n",
       "      <td>Uber Auto</td>\n",
       "      <td>3.0</td>\n",
       "      <td>13</td>\n",
       "      <td>3</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>18.266667</td>\n",
       "      <td>129.2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21442</th>\n",
       "      <td>Semmozhi Poonga</td>\n",
       "      <td>Sai Baba Temple Mylapore</td>\n",
       "      <td>Uber Go</td>\n",
       "      <td>4.0</td>\n",
       "      <td>13</td>\n",
       "      <td>3</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>20.266667</td>\n",
       "      <td>185.37</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21443</th>\n",
       "      <td>Semmozhi Poonga</td>\n",
       "      <td>Sai Baba Temple Mylapore</td>\n",
       "      <td>UberXL</td>\n",
       "      <td>6.0</td>\n",
       "      <td>13</td>\n",
       "      <td>3</td>\n",
       "      <td>7.000000</td>\n",
       "      <td>19.266667</td>\n",
       "      <td>384.7</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>21444 rows × 9 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                route_from                  route_to  ride_type  \\\n",
       "0      Chennai Citi Centre        Chennai Lighthouse   Go Sedan   \n",
       "1      Chennai Citi Centre        Chennai Lighthouse       Moto   \n",
       "2      Chennai Citi Centre        Chennai Lighthouse    Premier   \n",
       "3      Chennai Citi Centre        Chennai Lighthouse  Uber Auto   \n",
       "4      Chennai Citi Centre        Chennai Lighthouse    Uber Go   \n",
       "...                    ...                       ...        ...   \n",
       "21439      Semmozhi Poonga  Sai Baba Temple Mylapore       Moto   \n",
       "21440      Semmozhi Poonga  Sai Baba Temple Mylapore    Premier   \n",
       "21441      Semmozhi Poonga  Sai Baba Temple Mylapore  Uber Auto   \n",
       "21442      Semmozhi Poonga  Sai Baba Temple Mylapore    Uber Go   \n",
       "21443      Semmozhi Poonga  Sai Baba Temple Mylapore     UberXL   \n",
       "\n",
       "       ride_max_persons  hour  day_of_week  ride_waiting_time  \\\n",
       "0                   4.0    17            1           6.000000   \n",
       "1                   1.0    17            1           5.333333   \n",
       "2                   4.0    17            1           6.000000   \n",
       "3                   3.0    17            1           1.333333   \n",
       "4                   4.0    17            1           6.000000   \n",
       "...                 ...   ...          ...                ...   \n",
       "21439               1.0    13            3           2.000000   \n",
       "21440               4.0    13            3           3.000000   \n",
       "21441               3.0    13            3           1.000000   \n",
       "21442               4.0    13            3           2.000000   \n",
       "21443               6.0    13            3           7.000000   \n",
       "\n",
       "       ride_time_minutes  ride_price  \n",
       "0               7.983333      147.06  \n",
       "1               7.983333   35.416667  \n",
       "2               8.316667  199.183333  \n",
       "3               7.650000        70.0  \n",
       "4               8.650000      143.01  \n",
       "...                  ...         ...  \n",
       "21439          17.266667       56.33  \n",
       "21440          19.266667      304.01  \n",
       "21441          18.266667       129.2  \n",
       "21442          20.266667      185.37  \n",
       "21443          19.266667       384.7  \n",
       "\n",
       "[21444 rows x 9 columns]"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df= df[['route_from','route_to','ride_type','ride_max_persons','hour','day_of_week','ride_waiting_time','ride_time_minutes','ride_price']]\n",
    "df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "id": "74f15ac3-027d-4b42-8753-6c879d10f670",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>ride_max_persons</th>\n",
       "      <th>hour</th>\n",
       "      <th>day_of_week</th>\n",
       "      <th>ride_waiting_time</th>\n",
       "      <th>ride_time_minutes</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>21444.000000</td>\n",
       "      <td>21444.000000</td>\n",
       "      <td>21444.000000</td>\n",
       "      <td>21444.000000</td>\n",
       "      <td>21444.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>3.666667</td>\n",
       "      <td>14.654729</td>\n",
       "      <td>2.671796</td>\n",
       "      <td>4.055019</td>\n",
       "      <td>18.326552</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>1.490747</td>\n",
       "      <td>4.761747</td>\n",
       "      <td>1.707197</td>\n",
       "      <td>2.306364</td>\n",
       "      <td>8.471841</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>1.000000</td>\n",
       "      <td>7.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>4.750000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>3.000000</td>\n",
       "      <td>10.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>12.700000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>4.000000</td>\n",
       "      <td>14.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>4.000000</td>\n",
       "      <td>15.766667</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>4.000000</td>\n",
       "      <td>19.000000</td>\n",
       "      <td>4.000000</td>\n",
       "      <td>5.000000</td>\n",
       "      <td>22.533333</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>6.000000</td>\n",
       "      <td>23.000000</td>\n",
       "      <td>6.000000</td>\n",
       "      <td>13.000000</td>\n",
       "      <td>52.233333</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "       ride_max_persons          hour   day_of_week  ride_waiting_time  \\\n",
       "count      21444.000000  21444.000000  21444.000000       21444.000000   \n",
       "mean           3.666667     14.654729      2.671796           4.055019   \n",
       "std            1.490747      4.761747      1.707197           2.306364   \n",
       "min            1.000000      7.000000      0.000000           1.000000   \n",
       "25%            3.000000     10.000000      2.000000           2.000000   \n",
       "50%            4.000000     14.000000      2.000000           4.000000   \n",
       "75%            4.000000     19.000000      4.000000           5.000000   \n",
       "max            6.000000     23.000000      6.000000          13.000000   \n",
       "\n",
       "       ride_time_minutes  \n",
       "count       21444.000000  \n",
       "mean           18.326552  \n",
       "std             8.471841  \n",
       "min             4.750000  \n",
       "25%            12.700000  \n",
       "50%            15.766667  \n",
       "75%            22.533333  \n",
       "max            52.233333  "
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import seaborn as sns\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "#1. Descriptive statistics\n",
    "df.describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "id": "5a83d811-4cf9-4fdf-bdab-6a7714075817",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 2. Correlation matrix\n",
    "numericals= df[['ride_max_persons','hour','day_of_week','ride_waiting_time','ride_time_minutes','ride_price']]\n",
    "correlation_matrix = numericals.corr()\n",
    "\n",
    "\n",
    "# 3. Correlation heatmap\n",
    "sns.heatmap(correlation_matrix, annot=True, cmap=\"coolwarm\")\n",
    "plt.title('Correlation Matrix')\n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "66ddac53-6843-4c1c-bcde-74c7965ac267",
   "metadata": {},
   "source": [
    "- Although hours, day of week likely affect the price, they are not totaly co-related as they are fluctions among them thus we don't need to drop any colums but proceed with next steps"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "id": "e224aa3e-bb31-4b82-9ac2-46adbebb1af6",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x1500 with 3 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x1500 with 3 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x1000 with 3 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 4. Line plots for day_of_week\n",
    "fig, axes = plt.subplots(3, 1, figsize=(10, 15))\n",
    "\n",
    "sns.lineplot(x='day_of_week', y='ride_price', data=df, ax=axes[0])\n",
    "axes[0].set_title('Ride Price by Day of Week')\n",
    "\n",
    "sns.lineplot(x='day_of_week', y='ride_waiting_time', data=df, ax=axes[1])\n",
    "axes[1].set_title('Ride Waiting Time by Day of Week')\n",
    "\n",
    "sns.lineplot(x='day_of_week', y='ride_time_minutes', data=df, ax=axes[2])\n",
    "axes[2].set_title('Ride Time by Day of Week')\n",
    "\n",
    "plt.tight_layout()\n",
    "plt.show()\n",
    "\n",
    "# 5. Line plots for hour of the day\n",
    "fig, axes = plt.subplots(3, 1, figsize=(10, 15))\n",
    "\n",
    "sns.lineplot(x='hour', y='ride_price', data=df, ax=axes[0])\n",
    "axes[0].set_title('Ride Price by Hour of Day')\n",
    "\n",
    "sns.lineplot(x='hour', y='ride_waiting_time', data=df, ax=axes[1])\n",
    "axes[1].set_title('Ride Waiting Time by Hour of Day')\n",
    "\n",
    "sns.lineplot(x='hour', y='ride_time_minutes', data=df, ax=axes[2])\n",
    "axes[2].set_title('Ride Time by Hour of Day')\n",
    "\n",
    "plt.tight_layout()\n",
    "plt.show()\n",
    "\n",
    "# 6. Distribution plots for numerical features\n",
    "fig, axes = plt.subplots(3, 1, figsize=(10, 10))\n",
    "\n",
    "sns.histplot(df['ride_price'], kde=True, ax=axes[0])\n",
    "axes[0].set_title('Distribution of Ride Price')\n",
    "\n",
    "sns.histplot(df['ride_waiting_time'], kde=True, ax=axes[1])\n",
    "axes[1].set_title('Distribution of Ride Waiting Time')\n",
    "\n",
    "sns.histplot(df['ride_time_minutes'], kde=True, ax=axes[2])\n",
    "axes[2].set_title('Distribution of Ride Time')\n",
    "\n",
    "plt.tight_layout()\n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "21dd5b77-cf55-41c6-b312-3e69ed4d298b",
   "metadata": {},
   "source": [
    "- Clearly fluctions among days of week and hours of day among all three variables (ride price, ride waiting time, and ride time)\n",
    "- Variable are also not much skewed, so it shoud be okay for the machine learning models"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "ae5a16f9-7260-48e4-a865-72bf42e1e909",
   "metadata": {},
   "source": [
    "# 4.0 Model Selection and Training"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "7f22f0f1-0749-4068-94ca-5aeadb3dc4b1",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "--- Random Forest Price Prediction Model ---\n",
      "Mean Absolute Error (MAE): 10.017634153005465\n",
      "Mean Squared Error (MSE): 373.0349721128934\n",
      "R² Score: 0.9688103596681626\n",
      "\n",
      "--- Random Forest Waiting Time Prediction Model ---\n",
      "Mean Absolute Error (MAE): 0.38259514907487296\n",
      "Mean Squared Error (MSE): 0.39639956699581375\n",
      "R² Score: 0.9291120850372716\n",
      "\n",
      "--- Random Forest Ride Time Prediction Model ---\n",
      "Mean Absolute Error (MAE): 0.6325770140286968\n",
      "Mean Squared Error (MSE): 0.6675361321222005\n",
      "R² Score: 0.9908885757758246\n",
      "\n"
     ]
    }
   ],
   "source": [
    "import pandas as pd\n",
    "from sklearn.model_selection import train_test_split\n",
    "from sklearn.preprocessing import StandardScaler, OneHotEncoder\n",
    "from sklearn.compose import ColumnTransformer\n",
    "from sklearn.ensemble import RandomForestRegressor\n",
    "from sklearn.pipeline import Pipeline\n",
    "from sklearn.metrics import mean_absolute_error, mean_squared_error, r2_score\n",
    "\n",
    "# Assuming your DataFrame is already loaded into `df`\n",
    "\n",
    "# Step 1: Split the data into features (X) and targets (y)\n",
    "X = df.drop(columns=['ride_price', 'ride_waiting_time', 'ride_time_minutes'])\n",
    "y_price = df['ride_price']\n",
    "y_waiting_time = df['ride_waiting_time']\n",
    "y_ride_time = df['ride_time_minutes']\n",
    "\n",
    "# Step 2: Train-Test Split\n",
    "X_train, X_test, y_train_price, y_test_price = train_test_split(X, y_price, test_size=0.2, random_state=42)\n",
    "_, _, y_train_waiting, y_test_waiting = train_test_split(X, y_waiting_time, test_size=0.2, random_state=42)\n",
    "_, _, y_train_time, y_test_time = train_test_split(X, y_ride_time, test_size=0.2, random_state=42)\n",
    "\n",
    "# Define numerical and categorical columns\n",
    "numerical_features = ['ride_max_persons', 'hour', 'day_of_week']\n",
    "categorical_features = ['route_from', 'route_to', 'ride_type']\n",
    "\n",
    "# Create preprocessing pipeline\n",
    "preprocessor = ColumnTransformer(\n",
    "    transformers=[\n",
    "        ('num', StandardScaler(), numerical_features),\n",
    "        ('cat', OneHotEncoder(handle_unknown='ignore'), categorical_features)\n",
    "    ])\n",
    "\n",
    "# Step 3: Create pipelines for each target\n",
    "price_pipeline = Pipeline(steps=[\n",
    "    ('preprocessor', preprocessor),\n",
    "    ('model', RandomForestRegressor(n_estimators=100, random_state=42))\n",
    "])\n",
    "\n",
    "waiting_pipeline = Pipeline(steps=[\n",
    "    ('preprocessor', preprocessor),\n",
    "    ('model', RandomForestRegressor(n_estimators=100, random_state=42))\n",
    "])\n",
    "\n",
    "time_pipeline = Pipeline(steps=[\n",
    "    ('preprocessor', preprocessor),\n",
    "    ('model', RandomForestRegressor(n_estimators=100, random_state=42))\n",
    "])\n",
    "\n",
    "# Step 4: Fit the models\n",
    "price_pipeline.fit(X_train, y_train_price)\n",
    "waiting_pipeline.fit(X_train, y_train_waiting)\n",
    "time_pipeline.fit(X_train, y_train_time)\n",
    "\n",
    "# Step 5: Predict on the test data\n",
    "price_predictions = price_pipeline.predict(X_test)\n",
    "waiting_predictions = waiting_pipeline.predict(X_test)\n",
    "time_predictions = time_pipeline.predict(X_test)\n",
    "\n",
    "# Step 6: Evaluate the models\n",
    "def evaluate_model(true, predicted, metric_name=\"Model\"):\n",
    "    print(f\"--- {metric_name} ---\")\n",
    "    print(\"Mean Absolute Error (MAE):\", mean_absolute_error(true, predicted))\n",
    "    print(\"Mean Squared Error (MSE):\", mean_squared_error(true, predicted))\n",
    "    print(\"R² Score:\", r2_score(true, predicted))\n",
    "    print()\n",
    "\n",
    "# Evaluate price prediction model\n",
    "evaluate_model(y_test_price, price_predictions, \"Random Forest Price Prediction Model\")\n",
    "\n",
    "# Evaluate waiting time prediction model\n",
    "evaluate_model(y_test_waiting, waiting_predictions, \"Random Forest Waiting Time Prediction Model\")\n",
    "\n",
    "# Evaluate ride time prediction model\n",
    "evaluate_model(y_test_time, time_predictions, \"Random Forest Ride Time Prediction Model\")\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 117,
   "id": "ce64c148-cd9f-43a5-a0b8-ad56aa10a91d",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "--- XGBoost Price Prediction Model ---\n",
      "Mean Absolute Error (MAE): 10.102199054007942\n",
      "Mean Squared Error (MSE): 314.7897112639407\n",
      "R² Score: 0.9738134965006694\n",
      "\n",
      "--- XGBoost Waiting Time Prediction Model ---\n",
      "Mean Absolute Error (MAE): 0.6035203063037675\n",
      "Mean Squared Error (MSE): 0.6893802861069517\n",
      "R² Score: 0.8737852909955264\n",
      "\n",
      "--- XGBoost Ride Time Prediction Model ---\n",
      "Mean Absolute Error (MAE): 0.5865173989346546\n",
      "Mean Squared Error (MSE): 0.6334017144045959\n",
      "R² Score: 0.9914717533586962\n",
      "\n"
     ]
    }
   ],
   "source": [
    "import xgboost as xgb\n",
    "\n",
    "# Create pipelines for each target\n",
    "xg_price_pipeline = Pipeline(steps=[\n",
    "    ('preprocessor', preprocessor),\n",
    "    ('model', xgb.XGBRegressor(objective='reg:squarederror', random_state=42))\n",
    "])\n",
    "\n",
    "xg_waiting_pipeline = Pipeline(steps=[\n",
    "    ('preprocessor', preprocessor),\n",
    "    ('model', xgb.XGBRegressor(objective='reg:squarederror', random_state=42))\n",
    "])\n",
    "\n",
    "xg_time_pipeline = Pipeline(steps=[\n",
    "    ('preprocessor', preprocessor),\n",
    "    ('model', xgb.XGBRegressor(objective='reg:squarederror', random_state=42))\n",
    "])\n",
    "\n",
    "# Step 4: Fit the models\n",
    "xg_price_pipeline.fit(X_train, y_train_price)\n",
    "xg_waiting_pipeline.fit(X_train, y_train_waiting)\n",
    "xg_time_pipeline.fit(X_train, y_train_time)\n",
    "\n",
    "# Step 5: Predict on the test data\n",
    "price_predictions = xg_price_pipeline.predict(X_test)\n",
    "waiting_predictions = xg_waiting_pipeline.predict(X_test)\n",
    "time_predictions = xg_time_pipeline.predict(X_test)\n",
    "\n",
    "# Step 6: Evaluate the models\n",
    "def evaluate_model(true, predicted, metric_name=\"Model\"):\n",
    "    print(f\"--- {metric_name} ---\")\n",
    "    print(\"Mean Absolute Error (MAE):\", mean_absolute_error(true, predicted))\n",
    "    print(\"Mean Squared Error (MSE):\", mean_squared_error(true, predicted))\n",
    "    print(\"R² Score:\", r2_score(true, predicted))\n",
    "    print()\n",
    "\n",
    "# Evaluate price prediction model\n",
    "evaluate_model(y_test_price, price_predictions, \"XGBoost Price Prediction Model\")\n",
    "\n",
    "# Evaluate waiting time prediction model\n",
    "evaluate_model(y_test_waiting, waiting_predictions, \"XGBoost Waiting Time Prediction Model\")\n",
    "\n",
    "# Evaluate ride time prediction model\n",
    "evaluate_model(y_test_time, time_predictions, \"XGBoost Ride Time Prediction Model\")\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 118,
   "id": "28264e93-47a0-4510-8927-ef2cdf183282",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "--- Linear Regression Price Prediction Model ---\n",
      "Mean Absolute Error (MAE): 33.3068383392167\n",
      "Mean Squared Error (MSE): 2298.816590761756\n",
      "R² Score: 0.8087676739605123\n",
      "\n",
      "--- Linear Regression Waiting Time Prediction Model ---\n",
      "Mean Absolute Error (MAE): 1.3201258525689152\n",
      "Mean Squared Error (MSE): 2.902264975361982\n",
      "R² Score: 0.46864084061963085\n",
      "\n",
      "--- Linear Regression Ride Time Prediction Model ---\n",
      "Mean Absolute Error (MAE): 3.0053159556271702\n",
      "Mean Squared Error (MSE): 16.92624728254662\n",
      "R² Score: 0.7721016406263651\n",
      "\n"
     ]
    }
   ],
   "source": [
    "from sklearn.linear_model import LinearRegression\n",
    "\n",
    "# Create pipelines for each target\n",
    "lr_price_pipeline = Pipeline(steps=[\n",
    "    ('preprocessor', preprocessor),\n",
    "    ('model', LinearRegression()\n",
    ")\n",
    "])\n",
    "\n",
    "lr_waiting_pipeline = Pipeline(steps=[\n",
    "    ('preprocessor', preprocessor),\n",
    "    ('model', LinearRegression()\n",
    ")\n",
    "])\n",
    "\n",
    "lr_time_pipeline = Pipeline(steps=[\n",
    "    ('preprocessor', preprocessor),\n",
    "    ('model', LinearRegression()\n",
    ")\n",
    "])\n",
    "\n",
    "# Fit Linear Regression models\n",
    "lr_price_pipeline.fit(X_train, y_train_price)\n",
    "lr_waiting_pipeline.fit(X_train, y_train_waiting)\n",
    "lr_time_pipeline.fit(X_train, y_train_time)\n",
    "\n",
    "# Predict and evaluate Linear Regression models\n",
    "price_lr_predictions = lr_price_pipeline.predict(X_test)\n",
    "waiting_lr_predictions = lr_waiting_pipeline.predict(X_test)\n",
    "time_lr_predictions = lr_time_pipeline.predict(X_test)\n",
    "\n",
    "# Evaluate Linear Regression models\n",
    "evaluate_model(y_test_price, price_lr_predictions, \"Linear Regression Price Prediction Model\")\n",
    "evaluate_model(y_test_waiting, waiting_lr_predictions, \"Linear Regression Waiting Time Prediction Model\")\n",
    "evaluate_model(y_test_time, time_lr_predictions, \"Linear Regression Ride Time Prediction Model\")\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "3b030f33-35a8-4d2a-ae7d-7ca26c7fdc1a",
   "metadata": {},
   "source": [
    "# 5.0 Hyperparameter tuning"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 126,
   "id": "63926bac-a4b7-414c-abcc-5a13ecf0e731",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Fitting 2 folds for each of 1 candidates, totalling 2 fits\n",
      "Fitting 2 folds for each of 1 candidates, totalling 2 fits\n",
      "Fitting 2 folds for each of 1 candidates, totalling 2 fits\n",
      "Best parameters for price model: {'model__n_estimators': 200, 'model__min_samples_split': 5, 'model__min_samples_leaf': 4, 'model__max_depth': 20}\n",
      "Best score for price model: 743.069685145743\n",
      "Best parameters for waiting time model: {'model__n_estimators': 200, 'model__min_samples_split': 5, 'model__min_samples_leaf': 4, 'model__max_depth': 20}\n",
      "Best score for waiting time model: 0.9187074325535796\n",
      "Best parameters for ride time model: {'model__n_estimators': 200, 'model__min_samples_split': 5, 'model__min_samples_leaf': 4, 'model__max_depth': 20}\n",
      "Best score for ride time model: 1.2271047220961067\n",
      "[CV 1/2] END model__max_depth=20, model__min_samples_leaf=4, model__min_samples_split=5, model__n_estimators=200;, score=-744.120 total time=   3.2s\n",
      "[CV 2/2] END model__max_depth=20, model__min_samples_leaf=4, model__min_samples_split=5, model__n_estimators=200;, score=-742.019 total time=   3.2s\n",
      "[CV 2/2] END model__max_depth=20, model__min_samples_leaf=4, model__min_samples_split=5, model__n_estimators=200;, score=-0.887 total time=   4.2s\n",
      "[CV 1/2] END model__max_depth=20, model__min_samples_leaf=4, model__min_samples_split=5, model__n_estimators=200;, score=-0.950 total time=   3.9s\n",
      "[CV 2/2] END model__max_depth=20, model__min_samples_leaf=4, model__min_samples_split=5, model__n_estimators=200;, score=-1.290 total time=   5.2s\n",
      "[CV 1/2] END model__max_depth=20, model__min_samples_leaf=4, model__min_samples_split=5, model__n_estimators=200;, score=-1.164 total time=   5.2s\n"
     ]
    }
   ],
   "source": [
    "## Random Forest Performs the best, performing hyper tuning to see best one\n",
    "\n",
    "from sklearn.model_selection import RandomizedSearchCV\n",
    "\n",
    "# Define parameter distributions\n",
    "param_distributions = {\n",
    "    'model__n_estimators': [50, 100, 200, 300],\n",
    "    'model__max_depth': [None, 10, 20, 30, 40],\n",
    "    'model__min_samples_split': [2, 5, 10],\n",
    "    'model__min_samples_leaf': [1, 2, 4]\n",
    "}\n",
    "# Create RandomizedSearchCV objects with verbose parameter\n",
    "price_random_search = RandomizedSearchCV(price_pipeline, param_distributions, n_iter=1, cv=2, n_jobs=-1, scoring='neg_mean_squared_error', random_state=42, verbose=3)\n",
    "waiting_random_search = RandomizedSearchCV(waiting_pipeline, param_distributions, n_iter=1, cv=2, n_jobs=-1, scoring='neg_mean_squared_error', random_state=42, verbose=3)\n",
    "time_random_search = RandomizedSearchCV(time_pipeline, param_distributions, n_iter=1, cv=2, n_jobs=-1, scoring='neg_mean_squared_error', random_state=42, verbose=3)\n",
    "\n",
    "# Fit RandomizedSearchCV objects\n",
    "price_random_search.fit(X_train, y_train_price)\n",
    "waiting_random_search.fit(X_train, y_train_waiting)\n",
    "time_random_search.fit(X_train, y_train_time)\n",
    "\n",
    "# Print best parameters and scores\n",
    "print(\"Best parameters for price model:\", price_random_search.best_params_)\n",
    "print(\"Best score for price model:\", -price_random_search.best_score_)\n",
    "print(\"Best parameters for waiting time model:\", waiting_random_search.best_params_)\n",
    "print(\"Best score for waiting time model:\", -waiting_random_search.best_score_)\n",
    "print(\"Best parameters for ride time model:\", time_random_search.best_params_)\n",
    "print(\"Best score for ride time model:\", -time_random_search.best_score_)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 128,
   "id": "9afc36dd-2ac8-4515-954e-287ad3522906",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "--- Random Forest Price Prediction Model ---\n",
      "Mean Absolute Error (MAE): 12.658803162957074\n",
      "Mean Squared Error (MSE): 543.8444256548307\n",
      "R² Score: 0.9547590551853813\n",
      "\n",
      "--- Random Forest Waiting Time Prediction Model ---\n",
      "Mean Absolute Error (MAE): 0.536385676616281\n",
      "Mean Squared Error (MSE): 0.6046137683109686\n",
      "R² Score: 0.8893047098018871\n",
      "\n",
      "--- Random Forest Ride Time Prediction Model ---\n",
      "Mean Absolute Error (MAE): 0.7121654032193723\n",
      "Mean Squared Error (MSE): 0.9006943062885056\n",
      "R² Score: 0.9878728727476418\n",
      "\n"
     ]
    }
   ],
   "source": [
    "# Pipeline with best fit parameters\n",
    "# Create pipelines for each targets\n",
    "price_pipeline = Pipeline(steps=[\n",
    "    ('preprocessor', preprocessor),\n",
    "    ('model', RandomForestRegressor(n_estimators=200, \n",
    "                                    min_samples_split =5,\n",
    "                                    min_samples_leaf=4, \n",
    "                                    max_depth=20, \n",
    "                                    random_state=42))\n",
    "])\n",
    "\n",
    "waiting_pipeline = Pipeline(steps=[\n",
    "    ('preprocessor', preprocessor),\n",
    "    ('model', RandomForestRegressor(n_estimators=200, \n",
    "                                    min_samples_split =5,\n",
    "                                    min_samples_leaf=4, \n",
    "                                    max_depth=20, \n",
    "                                    random_state=42))\n",
    "])\n",
    "\n",
    "time_pipeline = Pipeline(steps=[\n",
    "    ('preprocessor', preprocessor),\n",
    "    ('model', RandomForestRegressor(n_estimators=200, \n",
    "                                    min_samples_split =5,\n",
    "                                    min_samples_leaf=4, \n",
    "                                    max_depth=20, \n",
    "                                    random_state=42))\n",
    "])\n",
    "\n",
    "# Fit the models\n",
    "price_pipeline.fit(X_train, y_train_price)\n",
    "waiting_pipeline.fit(X_train, y_train_waiting)\n",
    "time_pipeline.fit(X_train, y_train_time)\n",
    "\n",
    "# Predict on the test data\n",
    "price_predictions = price_pipeline.predict(X_test)\n",
    "waiting_predictions = waiting_pipeline.predict(X_test)\n",
    "time_predictions = time_pipeline.predict(X_test)\n",
    "\n",
    "# Evaluate the models\n",
    "def evaluate_model(true, predicted, metric_name=\"Model\"):\n",
    "    print(f\"--- {metric_name} ---\")\n",
    "    print(\"Mean Absolute Error (MAE):\", mean_absolute_error(true, predicted))\n",
    "    print(\"Mean Squared Error (MSE):\", mean_squared_error(true, predicted))\n",
    "    print(\"R² Score:\", r2_score(true, predicted))\n",
    "    print()\n",
    "\n",
    "# Evaluate price prediction model\n",
    "evaluate_model(y_test_price, price_predictions, \"Random Forest Price Prediction Model\")\n",
    "\n",
    "# Evaluate waiting time prediction model\n",
    "evaluate_model(y_test_waiting, waiting_predictions, \"Random Forest Waiting Time Prediction Model\")\n",
    "\n",
    "# Evaluate ride time prediction model\n",
    "evaluate_model(y_test_time, time_predictions, \"Random Forest Ride Time Prediction Model\")\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 130,
   "id": "6ed13677-d62c-411b-a738-d26cca44bc73",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Seems like the default parameters perform well on the test data, \n",
    "# so we will choose that "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 131,
   "id": "935e71d0-9e6e-4238-af06-b6290420fdf5",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Requirement already satisfied: joblib in /opt/anaconda3/envs/UberEndtoEnd/lib/python3.11/site-packages (1.4.2)\n",
      "Note: you may need to restart the kernel to use updated packages.\n"
     ]
    }
   ],
   "source": [
    "# Let's save our model"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "a2d25e3a-5406-4703-a127-6b84e9f1dbdd",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['time_pipeline.pkl']"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import joblib\n",
    "\n",
    "# Save the pipelines\n",
    "joblib.dump(price_pipeline, 'price_pipeline.pkl')\n",
    "joblib.dump(waiting_pipeline, 'waiting_pipeline.pkl')\n",
    "joblib.dump(time_pipeline, 'time_pipeline.pkl')\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "id": "68c399b8-0634-4145-b603-8f3c50d46b85",
   "metadata": {},
   "outputs": [],
   "source": [
    "df.to_csv('data/justadf.csv',index=False) #To get unique values for streamlit"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "ce53a342-24d4-4d24-b569-9d9e24ed6697",
   "metadata": {},
   "source": [
    "# Now that model is selected and saved, we can go ahead and start creating our Streamlit Application"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "ce16f7ae-4419-49d5-9676-769697ece621",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
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