Using Python and Scikit-learn, you have learned how to build your own – and have learned the basics of TF-IDF and of non-negative matrix factorization in the process. More resources: ...

The different kinds of recommender systems Data wrangling techniques using the pandas library Building an IMDB Top 250 Clone Building a content based engine to recommend movies based on movie metadata ...

In addition, this type of recommender system could also be used as a means of suggesting TV shows or movies to a user (e.g., Netflix). To create this system you will be using Spark and the ...

In the field of Artificial Intelligence Machine learning provides the automatic systems which learn and improve itself from experience without being explicitly programmed. In this research work a ...