Statistical Machine Learning

Syllabus Schedule

Week 1 - Introduction Week 2 - Linear Regression Week 3 - Logistic Regression Week 4 - LDA, QDA, KNN, Naive Bayes Week 5 - Feature Engineering Week 6 - Resampling Week 7 - Clustering Week 8 - Topics in ML Week 9 - PCA Week 10 - Shrinkage Week 11 - Splines & GAMs Week 12 - Trees Week 13 - SVM Week 14 - SVM Labs Week 15 - Finals

Week 2 - Linear Regression Week 3 - Logistic Regression Week 4 - LDA, QDA, KNN Week 5 - Feature Engineering Week 7 - Clustering Week 9 - PCA Week 10 - Shrinkage Week 11 - Splines & GAMs Week 12 - Trees week 14 - SVMs

Assignment 1 - Linear Regression Assignment 2 - Logistic Regression Assignment 3 - LDA, QDA, KNN Assignment 4 - Resampling Assignment 5 - Bootstrapping Midterm Assignment 6 - PCA Assignment 7 - Shrinkage Assignemnt 8 - Splines & GAMs Assignment 9 - Trees Assignment 10 - SVM

Week 14 - SVM labs

We will continue last weeks talk on SVMs and do the corresponding lab.

The Thursday class will be dedicated for last minute questions and guidance about the final project.