This repository contains some basic examples exploring machine learning fundamentals.
- Cost functions
- Gradient Descent
- Linear Regression
- Regularization
- Neural Networks
- SVMs
- K-Means
- Data distributions
This repo contains projects from this Coursera Course taught by Andrew Ng at Stanford University.