├── .gitignore
└── LGMTASK_1.ipynb
/.gitignore:
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2 | __pycache__/
3 | *.py[cod]
4 | *$py.class
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95 | __pypackages__/
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130 |
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/LGMTASK_1.ipynb:
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1 | {
2 | "nbformat": 4,
3 | "nbformat_minor": 0,
4 | "metadata": {
5 | "colab": {
6 | "name": "LGMTASK-1.ipynb",
7 | "provenance": [],
8 | "authorship_tag": "ABX9TyMjAaIrQ9Zx6w2eCeww6X4+",
9 | "include_colab_link": true
10 | },
11 | "kernelspec": {
12 | "name": "python3",
13 | "display_name": "Python 3"
14 | },
15 | "language_info": {
16 | "name": "python"
17 | }
18 | },
19 | "cells": [
20 | {
21 | "cell_type": "markdown",
22 | "metadata": {
23 | "id": "view-in-github",
24 | "colab_type": "text"
25 | },
26 | "source": [
27 | "![\"Open](\"https://colab.research.google.com/assets/colab-badge.svg\")
"
28 | ]
29 | },
30 | {
31 | "cell_type": "code",
32 | "metadata": {
33 | "id": "zXPBewUGxUIp"
34 | },
35 | "source": [
36 | ""
37 | ],
38 | "execution_count": null,
39 | "outputs": []
40 | },
41 | {
42 | "cell_type": "markdown",
43 | "metadata": {
44 | "id": "ViZ5sZ4txVv9"
45 | },
46 | "source": [
47 | "#LETS GROW MORE\n",
48 | "#Level 02: Intermediate\n",
49 | "\n",
50 | "#Author- Atharv Patil\n",
51 | "\n",
52 | "#Task 2-Iris Flower Classification using Decision Tree Classifier\n",
53 | "\n",
54 | "Dataset- http://archive.ics.uci.edu/ml/datasets/Iris"
55 | ]
56 | },
57 | {
58 | "cell_type": "code",
59 | "metadata": {
60 | "id": "0HRMgWP6xdRG"
61 | },
62 | "source": [
63 | "import numpy as np\n",
64 | "import pandas as pd\n",
65 | "import matplotlib.pyplot as plt\n",
66 | "import seaborn as sns\n",
67 | "import sklearn.datasets as datasets\n",
68 | "%matplotlib inline"
69 | ],
70 | "execution_count": 1,
71 | "outputs": []
72 | },
73 | {
74 | "cell_type": "code",
75 | "metadata": {
76 | "colab": {
77 | "base_uri": "https://localhost:8080/",
78 | "height": 206
79 | },
80 | "id": "WhVubtmWxhXg",
81 | "outputId": "16b6b882-4660-475f-9c1e-551596efe93d"
82 | },
83 | "source": [
84 | "iris_set = datasets.load_iris()\n",
85 | "iris_data = pd.DataFrame(iris_set.data, columns=iris_set.feature_names)\n",
86 | "iris_data[\"species\"] = iris_set.target\n",
87 | "iris_data.head()"
88 | ],
89 | "execution_count": 2,
90 | "outputs": [
91 | {
92 | "output_type": "execute_result",
93 | "data": {
94 | "text/html": [
95 | "\n",
96 | "\n",
109 | "
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110 | " \n",
111 | " \n",
112 | " | \n",
113 | " sepal length (cm) | \n",
114 | " sepal width (cm) | \n",
115 | " petal length (cm) | \n",
116 | " petal width (cm) | \n",
117 | " species | \n",
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