# Machine Learning basics in Python

![Coursera Machine Learning course logo](coursera-ml.png?raw=true "Coursera Machine Learning course")

* [Neural Networks with Backpropagation](neural-nets-backprop.ipynb)

* [Bias vs. Variance with Linear & Polynomial Regression](bias-variance-learning-curves.ipynb)

* [Support Vector Machines (and Spam Classification)](support-vector-machines.ipynb)

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.
