Machine Learning basics in Python

• Neural Networks with Backpropagation

• Bias vs. Variance with Linear & Polynomial Regression

• Support Vector Machines (and Spam Classification)

This repository is a python implementation resembling as closely as possible both provided and personally-completed code in the octave/matlab assignments from the Machine Learning Coursera class by Stanford's Andrew Ng.