Python notebook repository. Kind of a blog with interesting stuff that I am planning to build up.
##Movies and stuff Exploring IMDB's data and some interesting conclusions.(Harvard Extension School CS109)
How to extract data from html pages, create and present a graph of your facebook friends network. (using selenium, pandas and vis.js)
##Wikipedia Read Suggestions To recommend to user a sequential reading topics based on his/her search request.
##Multiline RANSAC A simple explaination and a demo on RANSAC, in context with robot navigation and line-fitting on 2-D data points. Also gives a demo on an imporvement over it - Multiple-lines-fitting algorithm.
##Linear/Quadratic Discriminant Analysis Explaining Linear and Quadratic Discriminant analysis
##March Madness with likelihood
Generating bracket for the tournament(predicting results) based on seeds and tournament experience