Content Based Movie Recommendation System using Python
working: based on the movie entered by the user , the program will generate top 10 best recommendations from the 'movies.csv' dataset. The program uses 'cosine-similarity' to find similarity scores between the movies and then recommends the top 10 out of the similarity scores movies
additional information: using pandas and sklearn libraries for data analysis and manipulation