Added Regression notebook. Updated older notebooks by clearing the ou…

…tput.
screwgoth · Jun 1, 2020 · 9fc9737 · 9fc9737
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diff --git a/Regression/Simple_Regression/simple_linear_regression.ipynb b/Regression/Simple_Regression/simple_linear_regression.ipynb
@@ -0,0 +1,264 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "colab_type": "text",
+    "id": "l_LulNCC8z96"
+   },
+   "source": [
+    "# Simple Linear Regression"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "colab_type": "text",
+    "id": "xpXdowrE9DxW"
+   },
+   "source": [
+    "## Importing the libraries"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {
+    "colab": {},
+    "colab_type": "code",
+    "id": "nhKd4hWx9GFt"
+   },
+   "outputs": [],
+   "source": [
+    "import numpy as np\n",
+    "import matplotlib.pyplot as plt\n",
+    "import pandas as pd"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "colab_type": "text",
+    "id": "6JhpWJi59J1p"
+   },
+   "source": [
+    "## Importing the dataset"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {
+    "colab": {},
+    "colab_type": "code",
+    "id": "f8GfYDZ59O18"
+   },
+   "outputs": [],
+   "source": [
+    "dataset = pd.read_csv('../../datasets/Salary_Data.csv')\n",
+    "X = dataset.iloc[:, :-1].values\n",
+    "y = dataset.iloc[:, -1].values"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "colab_type": "text",
+    "id": "AyhQaTwP9RzG"
+   },
+   "source": [
+    "## Splitting the dataset into the Training set and Test set"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {
+    "colab": {},
+    "colab_type": "code",
+    "id": "bxOOauiN9VpC"
+   },
+   "outputs": [],
+   "source": [
+    "from sklearn.model_selection import train_test_split\n",
+    "X_train, X_test, y_train, y_test = train_test_split(X, y, test_size = 1/3, random_state = 0)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "colab_type": "text",
+    "id": "ZijQwFMQ9itx"
+   },
+   "source": [
+    "## Training the Simple Linear Regression model on the Training set"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {
+    "colab": {
+     "base_uri": "https://localhost:8080/",
+     "height": 34
+    },
+    "colab_type": "code",
+    "executionInfo": {
+     "elapsed": 882,
+     "status": "ok",
+     "timestamp": 1586352495803,
+     "user": {
+      "displayName": "Hadelin de Ponteves",
+      "photoUrl": "https://lh3.googleusercontent.com/a-/AOh14GhEuXdT7eQweUmRPW8_laJuPggSK6hfvpl5a6WBaA=s64",
+      "userId": "15047218817161520419"
+     },
+     "user_tz": -240
+    },
+    "id": "B4Aj_8YJ9l7J",
+    "outputId": "15363111-2a76-4774-88ad-48db22159e9d"
+   },
+   "outputs": [],
+   "source": [
+    "from sklearn.linear_model import LinearRegression\n",
+    "regressor = LinearRegression()\n",
+    "regressor.fit(X_train, y_train)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "colab_type": "text",
+    "id": "wa2T1Lq89o5H"
+   },
+   "source": [
+    "## Predicting the Test set results"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {
+    "colab": {},
+    "colab_type": "code",
+    "id": "Rn_sTJ2o9smm"
+   },
+   "outputs": [],
+   "source": [
+    "y_pred = regressor.predict(X_test)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "colab_type": "text",
+    "id": "-zSoMZ-P9v8t"
+   },
+   "source": [
+    "## Visualising the Training set results"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {
+    "colab": {
+     "base_uri": "https://localhost:8080/",
+     "height": 295
+    },
+    "colab_type": "code",
+    "executionInfo": {
+     "elapsed": 763,
+     "status": "ok",
+     "timestamp": 1586352502760,
+     "user": {
+      "displayName": "Hadelin de Ponteves",
+      "photoUrl": "https://lh3.googleusercontent.com/a-/AOh14GhEuXdT7eQweUmRPW8_laJuPggSK6hfvpl5a6WBaA=s64",
+      "userId": "15047218817161520419"
+     },
+     "user_tz": -240
+    },
+    "id": "IAePn_u-93tI",
+    "outputId": "b860fdce-5757-4104-b6e9-0f180e3fca05"
+   },
+   "outputs": [],
+   "source": [
+    "plt.scatter(X_train, y_train, color = 'red')\n",
+    "plt.plot(X_train, regressor.predict(X_train), color = 'blue')\n",
+    "plt.title('Salary vs Experience (Training set)')\n",
+    "plt.xlabel('Years of Experience')\n",
+    "plt.ylabel('Salary')\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "colab_type": "text",
+    "id": "EUX1Vhsv97ZT"
+   },
+   "source": [
+    "## Visualising the Test set results"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {
+    "colab": {
+     "base_uri": "https://localhost:8080/",
+     "height": 295
+    },
+    "colab_type": "code",
+    "executionInfo": {
+     "elapsed": 1097,
+     "status": "ok",
+     "timestamp": 1586352506966,
+     "user": {
+      "displayName": "Hadelin de Ponteves",
+      "photoUrl": "https://lh3.googleusercontent.com/a-/AOh14GhEuXdT7eQweUmRPW8_laJuPggSK6hfvpl5a6WBaA=s64",
+      "userId": "15047218817161520419"
+     },
+     "user_tz": -240
+    },
+    "id": "Ze9vpBTf-Bol",
+    "outputId": "58359ab2-7a52-4960-f49e-3d8b5ef6f7a1"
+   },
+   "outputs": [],
+   "source": [
+    "plt.scatter(X_test, y_test, color = 'red')\n",
+    "plt.plot(X_train, regressor.predict(X_train), color = 'blue')\n",
+    "plt.title('Salary vs Experience (Test set)')\n",
+    "plt.xlabel('Years of Experience')\n",
+    "plt.ylabel('Salary')\n",
+    "plt.show()"
+   ]
+  }
+ ],
+ "metadata": {
+  "colab": {
+   "authorship_tag": "ABX9TyP1VVwrQU8S68bmX5lftYWC",
+   "name": "Simple Linear Regression",
+   "provenance": [],
+   "toc_visible": true
+  },
+  "kernelspec": {
+   "display_name": "Python 3",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.7.6"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 1
+}
diff --git a/datasets/Salary_Data.csv b/datasets/Salary_Data.csv
@@ -0,0 +1,31 @@
+YearsExperience,Salary
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