Workshop 13 | Machine Learning: Zero to Hero The decision tree builds classification or regression models in the form of a tree structure. It breaks down a dataset into smaller and smaller subsets while at the same time an associated decision tree is incrementally developed. The final result is a tree with decision nodes and leaf nodes. We have already played with Decision Tree Regression, now it's time for classification π.
Tuesday, October 13, 2020
3:00 PM β 4:15 PM UTC
Introduction to Decision Trees |
Python Implementation |
Training ML Model & Evaluation |
Q/A |
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