Regularization: Ridge, Lasso and Elastic Net
A Comparison of Shrinkage and Selection Methods for Linear Regression
Linear Classifiers: An Overview
Non-linear regression: basis expansion, polynomials & splines
Model Selection & Assessment: going beyond the train-val-test split
Boost your grasp on boosting 🚀: Demystifying the famous competition-winning algorithm.
Calibrating classifiers: Are you sure your model returns probabilities? 🎲
SVM Kernels: What do they actually do?