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The objective of the project is to set up a personalized recommendation system based on the data of the famous game Movielens and that using machine learning tools. The system must provide for a user and a given movie the score that is most likely to be assigned by the user (score ∈ [0; 5]). After studying the data provided in the starting kit we can see that each user and each film is identified by a unique "id". In addition, the data give us information about the age (divided into 7 groups), the profession and the genre of each user, as well as the films that are divided into 18 categories. To deal with our problem we decided to separate into 3 binomials respectively responsible for graphic interpretation, preprocessing and regressor.
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L2 mini-projet Vanilla Team Yellow Project
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