Coursera: Machine Learning Specialization

This repository contains my solutions for the assignments of the “Machine Learning Specialization” course in Coursera, which is taught by Mr. Andrew Ng. Feel free to raise a pull request if any mistakes are found :)

P.S. Octave 7.1.0 is used for all assignments.

Also try out the Github pages view here!

Contents

(Week2) Ex1: Linear Regression
(Week3) Ex2: Logistic Regression
(Week4) Ex3: Multi-class Classification and Neural Networks
(Week5) Ex4: Neural Networks Learning
(Week6) Ex5: Regularized Linear Regression and Bisa v.s. Variance
(Week7) Ex6: Support Vector Machines
(Week8) Ex7: K-means Clustering and Principal Component Analysis
(Week9) Ex8: Anomaly Detection and Recommender Systems