This website is very much a work in progress. The goal is to explain some machine learning principles in as few lines of code as possible.

I decided to create models using Python for nine of the most common machine learning induction techniques

• Linear Regression
• Logistic Regression
• K-Means Clustering
• K-Nearest Neighbors
• Neural Network Analysis
• Decision Trees
• Support Vector Machines (SVM)
• Random Forests
• Association Mining

In addition to the machine learning models, the "Analysis" tab has code for exploratory data analysis on some of the datasets.