This is a small project on Movie Recommendation System using K Means Clustering. This project was carried out by scraping the top movies of various genres in the IMDB official site. Using the genres as properties these movies were clustered.

• scraper.py to scrape imdb website

• main.py to run the code in order (No need to run pre_processing.py and clustering_code.py they are imported by main and run automatically)

• pre_processing.py to preprocess the scraped data and store in desired format

• clustering_code.py to prepare data and fit to kmeans clustering model from sklearn

• plot.py to plot the cluster graph