Context
People love movies because:
It takes you on a journey.
Its an escape from reality.
Being a vivid movie watcher I always get amazed how sites like Netflix and Hotstar always exactly suggest the next movie I planned to watch on the back of mind. I researched a lot and decide to come up with something similar to that, so I decided to start with extracting a huge dataset of movies people love to watch and apply analysis on it.
Content
The dataset contains the following information:
Popularity: How popular the movie is.
Vote Count: Number of people voted.
Title: Name of the movie.
Vote Average: Average number of people voted to watch this movie.
Overview: Brief overview of what movie is (storyline).
Release Date: Date when the movie was released.
Inspiration
I would love to get the following answer:
Relationship between popularity and average vote count?
Which machine algorithm would be effective to find relationship between movies?