Machine Learning

These are "2022 NTHU EE655000 Machine Learning" course projects.

Homework 1: Maximum A Posteriori Estimation

Implement a Maximum A Posteriori (MAP) estimation to classify 54 instances into three types of wines.

Homework 2: Linear Regression

Apply the Maximum Likelihood (ML) and Bayesian linear regression methods to train a linear model to predict the chance of being admitted to graduate admissions.

Homework 3: Neural Network Image Classification

Build a 2-layer/3-layer neural network to classify images into three classes.

Final Project: Behavior Classification of Exposition Visitors

This is a long-term problem on AIdea. More details are shown in Behavior Classification of Exposition Visitors.