Machine-Learning-Application

Course projects with the application of KNN, decision tree,regression, naive bayes, and multilayer perceptron models.

Project Description

Deliverable	Content
project_1	Implement KNN and Decision Tree from scratch. The datasets trained and tested are Breast Cancer Wisconsin and Hepatitis. Here is our report1 (pdf).
project_2	Implement Naive Bayes with K-fold cross validation. The datasets trained and tested are 20 News Group and IMDB Review. Here is our report2 (pdf).
project_3	Implement Multilayer Perceptron from scratch. The datasets trained and tested is MNIST. Here is our report3 (pdf)