Harvard Data Science Course CS109 Homework and Final Project
HW1 - scrape polling data, aggergate and visualize past Governor races, and estimate probable outcomes of current Governor races using bootstrap
HW2 - predict presidential election outcomes with demographic and polling data
HW3 - use Naive Bayes algorithm to predict positivity/negativity of movie reviews from Rotten Tomatoes
HW4 - create a recommendation system for restaurants using collaborative filtering (with Amazon Web Services)
HW5 - create and analyze voting networks among US Senators
final project (in collaboration with three other classmates) - scrape network studies from JSTOR and analyze the evolving citation network in the field of network science