`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.
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.
Python