CSC411

Assignment 1

1. Basic regression in Python
2. Locally reweighted regression
3. Mini-batch SGD gradient estimator

Assignment 2

1. Class conditional Gaussians
2. Hand-written digits classification 2.1 KNN Classifier 2.2 Conditional Gaussians classifier 2.3 Naive Bayes Classifier 2.4 Model comparison

Assignment 3

1. 20 Newsgroups preditctions 1.1 Neural Nets model 1.2 Logistic classification 1.3 SVM model 1.4 Bernoulli Naive Bayes model
2. SVM Model analysis 2.1 SGD with momentum 2.2 Training SVM 2.3 Compare the effectiveness for digit 4 and digit 9
3. Kernel function 3.1 Kernel properties.

===================================================================================== Besides the content of Assignments, the course also include decision tree, Principle Component Analysis(PCA), t-SNE, EM alorgrithm, Ensembles (Gradient Boosting) and Reinforcement Learning (Q learning).