Machine Learning | Decision Trees - ID3, C4.5, C5.0, CART, CHAID
Want to know about different decision tree algorithms like the ID3, C4.5, C5.0, CART, CHAID, etc. Well, you are in the right place.
Do you also want to know how these trees are grown and how split decisions are made in these trees? What purity measures does these trees use?
What type of X features and Y predictions can these trees deal with?
How to deal with continuous data in decision trees?
Well, this is the video for you then.
This video provides mathematical and illustrative explanations on Decision Trees (Machine Learning) and algorithms on how to grow a tree (e.g. ID3, c4.5, c5.0, CART, CHAID).
Another follow-On video on Random Forest and Bagging (using Decision Trees):
Machine Learning | Ensemble, Bagging, & Random Forest
• Machine Learning | Ensemble, Bagging, & Ra...
ML | Bias-Variance Trade-Off:
• Machine Learning | Bias Variance Trade-Off