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