Data Science in Python: Olympic Gold

The first assignment for the University of Michigan course ‘Introduction to Data Science in Python’ on Coursera requires some basic data cleaning, and analysis using Pandas. Continue reading Data Science in Python: Olympic Gold

Stats & IMDb: Machine Learning and Movie Recommendations – Part I

I have been using IMDb as a tracking tool for movies. I rate movies I watched, and I use IMDb’s average member rating, and metascores (critics rating) in determining what else I’d like to see. However, these ratings often deviate from my own scores. In preparation for a machine learning course, I am using this mismatch to set up a new project; the objective is to make better predictions and give more accurate movie recommendations. Continue reading Stats & IMDb: Machine Learning and Movie Recommendations – Part I