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

Pubblicato il: 22 aprile 2018
sul canale di: Sebastian Mantey

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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/De...
Corresponding blog post: https://www.sebastian-mantey.com/code...
Decision Tree Algorithm explained (Intuition):    • What is Machine Learning? Part 2/5: Decisi...
Decision Tree Algorithm explained (Entropy):    • What is Machine Learning? Part 3/5: Decisi...
Sentdex' Q&A video:    • Don't Worry, Be Hacky - Q&A #3
"Decision Tree from Scratch" playlist:    • Coding a Decision Tree from Scratch in Pyt...

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