Learn Decision Tree Regression & Classification Python

Course outline

This session covers the popular machine learning model called Decision Trees, which falls under the Supervised Machine Learning category.

(1) Decision Tree Regression

(2) Decision Tree Classification

Prerequisite knowledge

Python Programming Knowledge

Basic knoweldge of Regression & Classification machine learning models

Learning outcomes

This hands-on session will allow the learners to create and train both a Decision Tree Regression model & a Decision Tree Classification model using the python programming language.

Software / Hardware requirements

Anaconda Distribution

Install the ‘64-bit Graphical installer’

Python

(For both Windows & macOS)

Sugggested link: https://www.anaconda.com/products/individual

Decision Tree Regression & Classification using R

2 hours session

Unsupervised Machine Learning - K-Means Clustering

1.5 hours session

Unsupervised Machine Learning - Hierarchial Clustering

1.5 hours session

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