What you will learn

• Explain how recommendation systems use collaborative filtering to generate personalized movie recommendations.

• Prepare datasets and configure a Python environment using Anaconda and the Surprise library.

• Construct and validate a movie recommendation model using cross-validation with RMSE and MAE.

• Apply Python functions to generate and interpret personalized movie predictions from user data.