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Recommended resources
Module 2
Linear & Logistic Regression: From Theory to Practice
Module 3
Distance & Margin-Based Models: KNN and SVM
Module 4
Decision Trees and Bagging Ensembles
Module 5
Advanced Gradient Boosting: XGBoost, LightGBM, & CatBoost
Module 6
Clustering: Centroid & Density-Based Methods
Module 7
Anomaly Detection with Isolation Forest & LOF
Module 8