Coding a Decision Tree from Scratch in Python p.1: Introduction

In this new video series we are going to code a decision tree classifier from scratch in Python using just numpy and pandas. In this first video, which serves as an introduction, we are going to load and prepare our data (which is again the Iris flower data set) and then we are also going to build our first function. And this is going to be a function that splits our data into a training and testing data set.

Links:
- GitHub repo: https://github.com/SebastianMantey/Decision-Tree-from-Scratch
- Corresponding blog post: https://www.sebastian-mantey.com/code-blog/coding-a-decision-tree-from-scratch-python-p1-introduction
- Decision Tree Algorithm explained (Intuition): https://youtu.be/WlGuizdVaiY
- Decision Tree Algorithm explained (Entropy): https://youtu.be/ObLQcpuLAlI
- Sentdex' Q&A video: https://www.youtube.com/watch?v=zPm6ElN8mRQ
- "Decision Tree from Scratch" playlist: https://www.youtube.com/watch?v=y6DmpG_PtN0&list=PLPOTBrypY74xS3WD0G_uzqPjCQfU6IRK-

Видео Coding a Decision Tree from Scratch in Python p.1: Introduction канала Sebastian Mantey