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Movie Recommendation System. #570
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You can work on it once you finish off the earlier PR. @ramya-neelakantan |
Maam I have submitted a pull request on the earlier one (Next word prediction)... Please let me know if any changes are required |
Ok, issue assigned. @ramya-neelakantan |
Update please? @ramya-neelakantan |
I'll be submitting it today maam |
Maam someone has already made a submission for the same project and it has been merged... Should I add mine too? |
Oops, its already done then. I haven't noticed it. More a day is available, if you're interested you can chose another issue to work on. @ramya-neelakantan |
Define You:
Is your feature request related to a problem? Please describe.
I'd like to work on a movie recommendation system that predicts movies based on certain predictions and reviews on similar movies.
To predict movies on the basis of ratings and other parameters for users. An advanced version of this is used in apps like Netflix, Amazon Prime Video etc.
I'd like to use some data preprocessing techniques, followed by KNN algorithm, to make predictions for movies
Approach to be followed (optional):
I will be using data preprocessing techniques to clean, the data, remove missing values, perform scaling etc.
Then I will use KNN algorithm to make predictions of movies which fall in similar categories as the movie selected by the user.
Additional context
Dataset used : https://grouplens.org/datasets/movielens/
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