sections

• S-Section 01: Introduction to Web Scraping (Sep. 13, 2019)
• S-Section 02: kNN and Linear Regression (Sep. 20, 2019)
• S-Section 03: Multiple Linear and Polynomial Regression (Sep. 27, 2019)
• S-Section 04: Regularization and Model Selection (Oct. 04, 2019)
• S-Section 05: Logistic Regression, Multiple Logistic Regression, and KNN-classification (Oct. 18, 2019)
• S-Section 06: PCA and Logistic Regression (Oct. 25, 2019)
• S-Section 07: Bagging and Random Forest (Nov. 01, 2019)
• S-Section 08: Review Trees and Boosting including Ada Boosting Gradient Boosting and XGBoost (Nov. 08, 2019)
• S-Section 09: Feed forward neural networks (Nov. 14, 2019)
• S-Section 10: Feed Forward Neural Networks, Regularization, SGD Solver (Nov. 22, 2019)