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Made an Movie Recommendation System using Content based filtering, Collaborative based filtering and Hybrid also. Recommend movies to user on basis of his/her prev ratings to movies

11ayushag/Movie_Recommendation_System_Using_ML

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Objective

Predict the rating that a user would give to a movie that he has not yet rated.

Type of Data:

Movielens Dataset link to download https://files.grouplens.org/datasets/movielens/ml-latest-small.zip

This Dataset has 100,000 ratings and 3,600 tag applications applied to 9,000 movies by 600 users.

Prerequisites

You need to have installed following softwares and libraries in your machine before running this project.

1.Python

2.Libraries: Pandas, Numpy, Matplotlib, Sklearn, sys, pickle.

Build with

ipython-notebook - Python Text Editor

sklearn - Machine learning library

seaborn, matplotlib.pyplot, - Visualization libraries

numpy, scipy- number python library

pandas - data handling library

Author

Ayush Agrawal - complete work

About

Made an Movie Recommendation System using Content based filtering, Collaborative based filtering and Hybrid also. Recommend movies to user on basis of his/her prev ratings to movies

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