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Hands-On Recommendation Systems with Python
book

Hands-On Recommendation Systems with Python

by Rounak Banik
July 2018
Beginner to intermediate
146 pages
3h 39m
English
Packt Publishing
Content preview from Hands-On Recommendation Systems with Python

Preparing the data

To build this model, we will be using the following metdata:

  • The genre of the movie.
  • The director of the movie. This person is part of the crew.
  • The movie's three major stars. They are part of the cast.
  • Sub-genres or keywords.

With the exception of genres, our DataFrames (both original and cleaned) do not contain the data that we require. Therefore, for this exercise, we will need to download two additional files: credits.csv, which contains information on the cast and crew of the movies, and keywords.csv, which contains information on the sub-genres.

You can download the necessary files from the following URL: https://www.kaggle.com/rounakbanik/the-movies-dataset/data.

Place both files in your data folder. We need to ...

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Publisher Resources

ISBN: 9781788993753