The code analyses the movie's dataset and the user suggest the recommended movies based on the user's favorite movie's,the code then analyses the given dataset and the few parameters are evaluated & selected based on which the machine recommend the movie.Here code flows through NLP basic functions such as vectorize and cosine-similarity and the recommendation patterns are compared based on the similarity score.
The code analyses the movie dataset and suggest user the recommended movies based on the user's favorite movie's
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arjunssat/Movie_recommendation_system
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The code analyses the movie dataset and suggest user the recommended movies based on the user's favorite movie's
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