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Movielens-Case-Study

Project Description

  • Performed the analysis using the Exploratory Data Analysis technique. Found features affecting the ratings of any particular movie and built a model to predict the movie ratings.

Process

Analysis tasks performed:

  • Combined all the datasets to create a Master data

  • Explored the datasets using visual representations (graphs and tables), also includes the comments on the following:

    • User Age Distribution
    • User rating of the movie “Toy Story”
    • Top 25 movies by viewership rating
    • Find the ratings for all the movies reviewed by for a particular user of user id = 2696
  • Feature Engineering:

    • Found out all the unique genres
    • Created a separate column for each genre category with a one-hot encoding ( 1 and 0) whether or not the movie belongs to that genre
    • Determined the features affecting the ratings of any particular movie
    • Developed a Linear Regression model to predict the movie ratings