This is gonna be a similar code to the above but by applying it to a different dataset. I used thegoodbooks-10kdataset available on Kaggle. It contains ratings and books csv files. The first one contains rating data for 10,000 books rated by over 53,000 users. The second file contains...
Something went wrong and this page crashed! If the issue persists, it's likely a problem on our side. Unexpected end of JSON input SyntaxError: Unexpected end of JSON input
Something went wrong and this page crashed! If the issue persists, it's likely a problem on our side. Unexpected end of JSON input SyntaxError: Unexpected end of JSON input
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grid_3x3Ratingsort Rating given to Moviegrid_3x3Votessort Votes given to Movietext_formatDirectorsort Director of the Movietext_formatActor 1sort Main Actor of Movietext_formatActor 2sort Second Main Actor of Movietext_formatActor 3sort Third Main Actor of Movie 13838unique values [null]3% (...
Movie Rating Prediction menu Create auto_awesome_motion View Active Events Danish Choudhary·5y ago· 314 views arrow_drop_up0 Copy & Edit6 more_vert Copied from Anurag Kumar Shukla comment 0 Comments
Oct 9, 2017 Close Oct 11, 2017 Description Overview We provide a revamped version of Recommendation Challenge - in this movie recommendation challenge, you have to build a recommendation system which accurately predicts user's movie rating based on user and movie features. ...
Movie Rating Prediction 71649a menu Create auto_awesome_motion View Active Events Mukul Vashisht·5y ago· 221 views arrow_drop_up0 Copy & Edit7 more_vert Copied from Anurag Kumar Shukla comment 0 Comments
UserID::MovieID::Rating::Timestamp UserIDs range between 1 and 6040 MovieIDs range between 1 and 3952 Ratings are made on a 5-star scale (whole-star ratings only) Timestamp is represented in seconds since the epoch as returned by time(2) Each user has at least 20 ratings USERS FILE...
2019. Available online: www.kaggle.com/datasets/lakshmi25npathi/imdb-dataset-of-50k-movie-reviews (accessed on 14 April 2023). Adinarayana, S.; Ilavarasan, E. A Hybrid Imbalanced Data Learning Framework to Tackle Opinion Imbalance in Movie Reviews. In Proceedings of the Communication Software...