📄
Evaluation Metrics are for humans to understand if the model is actually good.
📄
The "Hello World" of Machine Learning.
📄
Despite the name, this is NOT a regression algorithm. It's for Classification!
📄
A Loss Function is a scoreboard that tells the model "How badly did you mess up?"
📄
Building a Machine Learning model isn't just writing code—it's a whole lifecycle!
📄
Regularization is the "Police Force" of ML. It stops the model from cheating!