Jupyter Notebook Solutions to Andrew Ng's Coursera Machine Learning Course

This repostitory hosts Jupyter notebook solutions to Andrew Ng's great Machine Learning course on Coursera. Below are links to the Notebooks. Each directory also contains a pdf of the assignment and also all the Octave code that is provided with the assignment.

• Linear Regression
• Logistic Regression
• Multi-class Classification and Neural Networks
• Neural Networks Learning
• Regularized Linear Regression and Bias v.s. Variance
• Support Vector Machines
• K-means Clustering and Principal Component Analysis