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Foundation of Machine Learning
2009 — 2011 Lec 00: Installation guide for R and RStudio Lec 00: Installation guide for R and RStudio Lec 00: Concise tutorial for R scripts Lec 01: introduction to Statistical Learning Lec 02: Overview of Supervised Learning Part1 Lec 02: Overview of Supervised Learning Part2 Lec 03: Linear Regression Models Lec 04: Selection Shringkage Method Lec 05: PCR and PLS Method Lec 06: Classification Lec 07: Separating Hyperplane Lec 08: Support Vector Machine Lec 09: Model Selection Lec 10: Decision Tree Lec 11: Ensemble Methods Lec 12: Neural Networks Lec 13: Unsupervised Learning Clustering