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 15 - Finals Presentations

Both days will be dedicated to presentations of finals.