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Machine Learning: The Engineering Approach
Module 2 of 13
2. Supervised: Regression
1. Linear Regression
The "Hello World" of ML. Fitting a line. $$ y = mx + b $$
2. Decision Trees
A series of IF-ELSE statements learned by the machine.
- Pros: Interpretable. (You can visualize the tree).
- Cons: Prone to Overfitting (Memorizing data).