Here, we use the Movieslens dataset. More specifically, we use MovieLens 1M movie ratings dataset. It's a stable benchmark dataset with 1 million ratings from 6000 users on 4000 movies and it's released 2/2003.

The data preprocessing contains two steps:

• Load the Data

  • read_csv(): This function has so many parameters that can simplify the code. So you have to dive deeper into it.

• Preprocess the data to meet certain requirements.

  • How to transform your data into category type?

    It's a effective data type in terms of Recommender System.