Homework solutions for the machine learning course on Coursera
- ex1 : Linear Regression
- ex2 : Logistic Regression
- ex3 : Neural Networks: Representation
- ex4 : Neural Networks: Learning
- ex5 : Advice for Applying Machine Learning
- ex6 : Support Vector Machines
- ex7 : Unsupervised Learning
- ex8 : Anomaly Detection and Recommender Systems
The code is writtern in Octave. Octave is a scientific programming language（open sourced） similar to Matlab. For MacOS users, Octave can be installed through HomeBrew:
brew install octave
Then open terminal type ocatve command. You are ready to go.
I took the lecture notes for my own personal use, feel free to check it out. Here is the link below: Course Notes
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Solutions licensed under MIT License