This repository contains Matlab/Octave code developed throughout the Machine Learning course taken through Coursera
There will be a folder for each exercise, with an accompanying PDF to provide further context and explanation. For example:
- ex1/...
- ex1.pdf
- ex2/...
- ex2.pdf
Table of Contents
- Exercise 1: Linear Regression
- Exercise 2: Logistic Regression
- Exercise 3: Multi-class Classification and Neural Networks
- Exercise 4: Neutral Networks Learning
- Exercise 5: Regularized Linear Regression and Bias vs. Variance
- Exercise 6: Support Vector Machines
- Exercise 7: K-means Clustering and Principal Component Analysis
- Exercise 8: Anomaly Detection and Recommender Systems