Learn ML Algorithms by coding: Decision Trees

Gain a deeper understanding of machine learning algorithms by implementing decision trees from scratch. Suitable for beginners and experienced learners.

Introduction

The intention of this series is to understand the intricacies of popular machine learning algorithms by coding them from scratch. The idea is not to create a competing implementation, but to understand the building blocks behind each machine learning algorithm.

Highlights

• Learn ML algorithms by coding from scratch
• Focus on understanding the algorithms rather than efficiency
• Implement a decision tree from scratch for binary classification

Recommendation

This course is recommended for those who want to gain a deeper understanding of machine learning algorithms by implementing them from the ground up. It is suitable for both beginners and experienced learners who want to enhance their knowledge of decision trees and their inner workings.