This recommendation system was iniciated and learned during my Data Science training, beside the data exploration below, I’m also going to build a new application to show this recommentation to the end user in the near future.
The requirements to run this Jupyter Notebook is downloading all datasets needed from Kaggle Netflix competition.
The Netflix dataset is from Kaggle competition “Netflix Prize data”, so they can improve their reccommendation algorithm, despite being an old competition we still can learn a lot from it. You can get the dataset as well from here. For this exploration, we are going to use just the .txt files (combined_data..) and the movie_titles.csv file.
- Want my code? Grab it here 📎
- Check the article on Medium about this development 📌
- Want something else added to this tutorial? Add an issue to the repo
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