├── README.md
├── Ensembles and Random Forests
└── init
├── Introduction to Decision Trees
├── init
└── Heart+Disease+Prediction.ipynb
└── Hyperparameter Tuning in Decision Trees
└── init
/README.md:
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1 | # Tree-Models
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/Ensembles and Random Forests/init:
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/Introduction to Decision Trees/init:
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/Hyperparameter Tuning in Decision Trees/init:
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/Introduction to Decision Trees/Heart+Disease+Prediction.ipynb:
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1 | {
2 | "cells": [
3 | {
4 | "cell_type": "code",
5 | "execution_count": 20,
6 | "metadata": {},
7 | "outputs": [],
8 | "source": [
9 | "# Importing the required libraries\n",
10 | "import pandas as pd, numpy as np\n",
11 | "import matplotlib.pyplot as plt, seaborn as sns\n",
12 | "%matplotlib inline"
13 | ]
14 | },
15 | {
16 | "cell_type": "code",
17 | "execution_count": 21,
18 | "metadata": {},
19 | "outputs": [],
20 | "source": [
21 | "# Reading the csv file and putting it into 'df' object.\n",
22 | "df = pd.read_csv('heart_v2.csv')"
23 | ]
24 | },
25 | {
26 | "cell_type": "code",
27 | "execution_count": 22,
28 | "metadata": {
29 | "scrolled": true
30 | },
31 | "outputs": [
32 | {
33 | "data": {
34 | "text/plain": [
35 | "Index(['age', 'sex', 'BP', 'cholestrol', 'heart disease'], dtype='object')"
36 | ]
37 | },
38 | "execution_count": 22,
39 | "metadata": {},
40 | "output_type": "execute_result"
41 | }
42 | ],
43 | "source": [
44 | "df.columns"
45 | ]
46 | },
47 | {
48 | "cell_type": "code",
49 | "execution_count": 23,
50 | "metadata": {
51 | "scrolled": true
52 | },
53 | "outputs": [
54 | {
55 | "data": {
56 | "text/html": [
57 | "\n",
58 | "\n",
71 | "
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