Movie Buff is a movie recommendation system made on python. Here movies are recommended based on: 1. Similar movie based on a particular movie. 2. Based on movie popularity and/or genre.

DATASET USED: The Movies Dataset: ​Metadata on over 45,000 movies. 26 million ratings from over 270,000 users. Used ● credits.csv ● movies_metadata.csv ● keywords.csv

https://www.kaggle.com/rounakbanik/the-movies-dataset

HOW TO RUN: In case of using the kaggle kernel: recommender_main.ipynb Here data set can be loaded as default. Recommendations are done on an interactive python notebook.

In case of running in CPU(Enough computational power needed)(Recommended): recommender.py Here data set is inside /dataset folder. Also cannot find the dataset here because of the high size, please download and extract inside the folder.

For more details refer THE MOVIE BUFF-REPORT