This film suggestion system uses content based filtering algorithm,where the films or movies are reccommended for single person's interest.
1)Imported the dataset and necessary libraries needed for suggestions.Text pre-processing was also done.
2)Fielded specific attributes for classification such as Genre,tags,film name.
3)Persuaded SKlearn library (cosine similarity) that overhauled the film suggestion proces.