Movie-recommender-using-Collaborative-Filtering

This repository contains the code along with the data for a movie recommender system using user based collaborative filtering.

Data has been splitted manually into training and test sets just to check the accuracy of the model. Accuracy: around 92%.

The program takes userID as input and recommends 5 movies that the user would like to see based on the ratings of the other similar users.