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The dataset used is the Movielens100K dataset. I have then splitted the dataset into training and validation sets. Then I have studied the test and the train sets and also created the utility matrix. Finally I have used many models from the 'Surprise' package like SVD ,kNN etc... . I have compared the performance of all the models and then also …

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/*

 Author:: Raj Mehrotra
 Date:: 23-10-2018

*/

Movie-RecSys-using-Surprise-Library.

The dataset used is the Movielens100K dataset.

I have then splitted the dataset into training and validation sets. Then I have studied the test and the train sets and also created the utility matrix.

Finally I have used many models from the 'Surprise' package like SVD ,kNN etc... .

I have compared the performance of all the models and then also tuned the parameters using the GridSearchCV.

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The dataset used is the Movielens100K dataset. I have then splitted the dataset into training and validation sets. Then I have studied the test and the train sets and also created the utility matrix. Finally I have used many models from the 'Surprise' package like SVD ,kNN etc... . I have compared the performance of all the models and then also …

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