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?

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How do we apply the extraction functions to the dataset?

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What is the significance of renaming columns in the dataset?

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What should be checked after extracting the titles and years?

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