Let’s Write a Decision Tree Classifier from Scratch - Machine Learning Recipes #8

Subscribers:
2,510,000
Published on ● Video Link: https://www.youtube.com/watch?v=LDRbO9a6XPU



Duration: 9:53
510,699 views
9,513


Hey everyone! Glad to be back! Decision Tree classifiers are intuitive, interpretable, and one of my favorite supervised learning algorithms. In this episode, I’ll walk you through writing a Decision Tree classifier from scratch, in pure Python. I’ll introduce concepts including Decision Tree Learning, Gini Impurity, and Information Gain. Then, we’ll code it all up. Understanding how to accomplish this was helpful to me when I studied Machine Learning for the first time, and I hope it will prove useful to you as well.

You can find the code from this video here:
https://goo.gl/UdZoNr
https://goo.gl/ZpWYzt

Books!
Hands-On Machine Learning with Scikit-Learn and TensorFlow https://goo.gl/kM0anQ

Follow Josh on Twitter: https://twitter.com/random_forests

Check out more Machine Learning Recipes here: https://goo.gl/KewA03

Subscribe to the Google Developers channel: http://goo.gl/mQyv5L







Tags:
Google
developers
machine learning
tensorflow
tensor flow
ML
ML tips
machine learning tips
decision trees
machine learning decision trees
decision tree learning
devtools
dev tools
developer
developer tips
developer tools
machine learning developer
product: machine learning
fullname: Josh Gordon
Location: NYC
Team: Scalable Advocacy
Type: DevByte
Other: NoGreenScreen
GDS: Yes;