In this video series we are going to code a decision tree classifier from scratch in Python using just numpy and pandas. And in this video we are going to build the first two helper functions which we are going to need to run the decision tree algorithm.
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-p2-helper-functions-1
- Decision Tree Algorithm explained (Intuition): https://youtu.be/WlGuizdVaiY
- Decision Tree Algorithm explained (Entropy): https://youtu.be/ObLQcpuLAlI
- "Decision Tree from Scratch" playlist: https://www.youtube.com/watch?v=y6DmpG_PtN0&list=PLPOTBrypY74xS3WD0G_uzqPjCQfU6IRK-
edit: at 13:51 I meant to say “two” not “zero”
