Enter the exact title of a given movie, and you will be recommended movies according to each movies' overview, popularity and rating
Preprocesssing of data here
The TF-IDF approach for 'overview' column and final recommendation functions here
The KNN folder contains code which uses cosine similarity to find distance between two moving using the common genres, cast or keywords indexed and converted to zeros and ones as parameters, it finds the distance of movie with every other movie in datasets and then responds with k (6) nearest neighbors hence the name, K Nearest neighbors.
