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Machine Learning I.

Lectures
Topics
L1
Supervised Learning, OLS, Ridge, Lasso, Regularization, Cross- Validation, Nonparametric Regression (kernel, spline), Additive Models
L2
Classification, Logistic Regression, ROC, Calibration Plot
L3
CART Algo, Bootstrap, Bagging, Random Forest, Boosting, XGBoost