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

Stats & SNL: Other Projects By Cast, Crew and Alums

During the 2016 U.S. election cycle, I watched one of SNL’s Democratic Debate¬†cold opens. It probably wasn’t the first sketch I ever saw, but it was the first one that made me want to see more. I knew SNL first as a name that sounded vaguely familiar, and later as that show my American friends referenced without context, and I never got any of the¬†jokes. Continue reading Stats & SNL: Other Projects By Cast, Crew and Alums