hw-liang / Machine-Learning-and-Data-Mining

CSC2515 - University of Toronto serves as a broad introduction to Machine Learning. It covers a range of supervised and unsupervised learning algorithms, etc. This repository contains all the lecture slides of this course as well as official answer to all assignments.

`csc2515 Assignment1`
Use dataset from sklearn to practice mini-batch SGD and an optimal variant version for linear regression which is a hybrid algorithm with KNN
`csc2515 Assignment2`
Use Handwritten Digit to practice KNN classification, Conditional Caussian Classification and Naive Bayes Classification.
`csc2515 Assignment3`
Use three different algorithm to classify post to correct newsgroup(Text mining) and Train SVM with SGD (with Momentum) on 4-vs-9 digits on MNIST.