Added all the Regression models and datasets

screwgoth · Jun 1, 2020 · 6713ba8 · 6713ba8
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diff --git a/Regression/Decision_Tree_Regression/decision_tree_regression.ipynb b/Regression/Decision_Tree_Regression/decision_tree_regression.ipynb
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+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "colab_type": "text",
+    "id": "r3cas2_1T98w"
+   },
+   "source": [
+    "# Decision Tree Regression"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "colab_type": "text",
+    "id": "IODliia6U1xO"
+   },
+   "source": [
+    "## Importing the libraries"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {
+    "colab": {},
+    "colab_type": "code",
+    "id": "y98nA5UdU6Hf"
+   },
+   "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": "jpjZ43YlU8eI"
+   },
+   "source": [
+    "## Importing the dataset"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {
+    "colab": {},
+    "colab_type": "code",
+    "id": "pLVaXoYVU_Uy"
+   },
+   "outputs": [],
+   "source": [
+    "dataset = pd.read_csv('../../datasets/Position_Salaries.csv')\n",
+    "X = dataset.iloc[:, 1:-1].values\n",
+    "y = dataset.iloc[:, -1].values"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "colab_type": "text",
+    "id": "g16qFkFQVC35"
+   },
+   "source": [
+    "## Training the Decision Tree Regression model on the whole dataset"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {
+    "colab": {
+     "base_uri": "https://localhost:8080/",
+     "height": 121
+    },
+    "colab_type": "code",
+    "executionInfo": {
+     "elapsed": 1050,
+     "status": "ok",
+     "timestamp": 1587885283111,
+     "user": {
+      "displayName": "Hadelin de Ponteves",
+      "photoUrl": "https://lh3.googleusercontent.com/a-/AOh14GhEuXdT7eQweUmRPW8_laJuPggSK6hfvpl5a6WBaA=s64",
+      "userId": "15047218817161520419"
+     },
+     "user_tz": -240
+    },
+    "id": "SLDKyv1SVUqS",
+    "outputId": "a633ebbf-6fea-4b97-ccd8-1f8851e9d363"
+   },
+   "outputs": [],
+   "source": [
+    "from sklearn.tree import DecisionTreeRegressor\n",
+    "regressor = DecisionTreeRegressor(random_state = 0)\n",
+    "regressor.fit(X, y)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "colab_type": "text",
+    "id": "MQRGPTH3VcOn"
+   },
+   "source": [
+    "## Predicting a new result"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {
+    "colab": {
+     "base_uri": "https://localhost:8080/",
+     "height": 35
+    },
+    "colab_type": "code",
+    "executionInfo": {
+     "elapsed": 991,
+     "status": "ok",
+     "timestamp": 1587885288845,
+     "user": {
+      "displayName": "Hadelin de Ponteves",
+      "photoUrl": "https://lh3.googleusercontent.com/a-/AOh14GhEuXdT7eQweUmRPW8_laJuPggSK6hfvpl5a6WBaA=s64",
+      "userId": "15047218817161520419"
+     },
+     "user_tz": -240
+    },
+    "id": "_FpGZf7vVgrK",
+    "outputId": "54f36048-d4a1-4143-8b2b-b5aa32233b68"
+   },
+   "outputs": [],
+   "source": [
+    "regressor.predict([[6.5]])"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "colab_type": "text",
+    "id": "ph8ExBj0VkIT"
+   },
+   "source": [
+    "## Visualising the Decision Tree Regression results (higher resolution)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {
+    "colab": {
+     "base_uri": "https://localhost:8080/",
+     "height": 295
+    },
+    "colab_type": "code",
+    "executionInfo": {
+     "elapsed": 975,
+     "status": "ok",
+     "timestamp": 1587885301261,
+     "user": {
+      "displayName": "Hadelin de Ponteves",
+      "photoUrl": "https://lh3.googleusercontent.com/a-/AOh14GhEuXdT7eQweUmRPW8_laJuPggSK6hfvpl5a6WBaA=s64",
+      "userId": "15047218817161520419"
+     },
+     "user_tz": -240
+    },
+    "id": "zzH1Vv1oVrqe",
+    "outputId": "84111519-5c51-498c-c330-0d53825849e3"
+   },
+   "outputs": [],
+   "source": [
+    "X_grid = np.arange(min(X), max(X), 0.01)\n",
+    "X_grid = X_grid.reshape((len(X_grid), 1))\n",
+    "plt.scatter(X, y, color = 'red')\n",
+    "plt.plot(X_grid, regressor.predict(X_grid), color = 'blue')\n",
+    "plt.title('Truth or Bluff (Decision Tree Regression)')\n",
+    "plt.xlabel('Position level')\n",
+    "plt.ylabel('Salary')\n",
+    "plt.show()"
+   ]
+  }
+ ],
+ "metadata": {
+  "colab": {
+   "authorship_tag": "ABX9TyPkSAAyT6lZPl3l4/vYw79H",
+   "collapsed_sections": [],
+   "name": "decision_tree_regression.ipynb",
+   "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
+}