This repository contains the source code of labs in mahcine learning course (CSIC30062) in NYCU.
Below is the short description for each lab:
- Lab 1: Solve regularized linear regression model with Least Squared Error or Newton Method
- Lab 2: Build a Naive Bayes Classifier on MNIST
- Lab 3: Baysian Linear Regression
- Lab 4: Logistic Regression & EM
- Lab 5: Gaussian Process & Support Vector Machine
- Lab 6: Kernel K-means and Spectral Clustering
- Lab 7: Kernel Eigenfaces and t-SNE