Movie Recommendation using Python and Scikit-Learn

Here we recommend movies according to the user's choice. Here for input we use dataset name as IMDB data set. In this project we use Python, Pandas and Scikit-Learn to recommend the movies. In this way we recommend the movies to create the movie recommender.

In movie recommendation system we look in that dataset that which movie has how much rating and how many views. In this way we came to a decision that which movie recommend to the user according to the user. For that we use IMDB formula to calculate which movie recommend in which order. Here we use the formula val/(val+m) * Rating) + (m/(m+val) * C. Where val is ratingCount, m is .9 quantile of ratingCount, Rating is imdbRating and c is imdbRating's mean.

In this way we recommend the movies to the user according to the formula to tell the user that which movie is trending now and we create movie recommender system so that we recommend movies.