Recommender Systems with Machine Learning - Exploring Genres in Content-Based Filtering

The video tutorial covers data cleaning and analysis techniques for a movie dataset. It begins by introducing variables and handling missing genres, followed by dropping entries without genres to enhance data quality. The tutorial then addresses formatting issues by replacing lines with spaces in the genres column. It proceeds to count the occurrences of each genre using nested loops and visualizes the data with matplotlib bar plots. The tutorial concludes with a brief mention of calculating term frequency and inverse document frequency.

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