1.10. Decision Tree

1️⃣ Overview

◽ Scikit Learn User Guide?

The Scikit-learn user guide helpfully provides source code, to help you to determine which algorithm is right for your task.
In this section, I'm going to create a decision trees in machine learning model will prediction.

◽ Development Environment

Page_type	Languages	Products	Description
Training	`Python`	`Jupyter Lab`	Understanding Supervised Learning thogh Scikit Learn Algorothms

◽ Scikit Learn User Guide Contents

Scikit Learn > User Guide > Decision Tree

2️⃣ PreRequirement

◽ Download Source Code

1.10. Decision Trees.ipynb

1.10. Pruning Method.ipynb

3️⃣ Methodology

◽ ❶ Introduction

1.1 DecisionTree Pros&Cons

1.2 Components of DecisionTree

◽ ❷ Methodology

2.1 Splitting Rule

2.1.1 Classification | 2.1.2 Regression

DecisionTreeClassifier is a class capable of performing multi-class classification on a dataset.
Format Example : X = (n_samples, n_features) , Y = (n_samples,)