In this project suppose that you're a data analyst at Netflix and you want to explore the similarities and differences in people's tastes in movies based on how they rate different movies. Can understanding these ratings contribute to a movie recommendation system for users? Let's dig into the data and see.
The data we'll be using comes from MovieLens user rating dataset. We'll be looking at individual movie ratings later in the notebook, but let us start with how ratings of genres compare to each other.
In order to run this project, jupyter notebook must be installed to your computer. Python should also be installed