sections

S-Section 01: Introduction to Web Scraping (Sep. 11, 2020)

S-Section 02: kNN and Linear Regression (Sep. 18, 2020)

S-Section 03: Multiple Linear and Polynomial Regression (Sep. 25, 2020)

S-Section 04: Regularization and Model Selection (Oct. 02, 2020)

S-Section 05: Logistic Regression, Multiple Logistic Regression, and KNN-classification (Oct. 16, 2020)

S-Section 06: PCA and Logistic Regression (Oct. 23, 2020)

S-Section 07: Bagging and Random Forest (Oct. 30, 2020)

S-Section 08: Review Trees and Boosting including Ada Boosting Gradient Boosting and XGBoost (Nov. 06, 2020)

S-Section 09: Feed forward neural networks (Nov. 13, 2020)

S-Section 10: Feed Forward Neural Networks: Regularization and Adam optimizer (Nov. 20, 2020)