Recommender Systems with Machine Learning - Data Manipulation for Content-Based Filtering

The video tutorial explains how to extract movie titles and years from a dataset using Python. It covers creating functions to separate titles from years, handling missing year data, and applying these functions to a dataset. The tutorial emphasizes the importance of understanding Python basics and provides a step-by-step guide to renaming columns and checking for missing values.

What are the two functions that need to be written for extraction?

How do we apply the extraction functions to the dataset?

What is the significance of renaming columns in the dataset?

What should be checked after extracting the titles and years?