MovieLens-1M Deep Dive — Part I

MovieLens-1M Deep Dive — Part I

A hands-on recommendation systems tour using the popular benchmark dataset

Recommendations. We all consume them. Be it through our favorite movie streaming apps, online shopping, or even passively as a target of advertising campaigns. How are these recommendations created? How does a recommendation system utilize enormous datasets of internet transactions to generate high quality and personalized recommendations? I find these questions fascinating, hence I decided to embark on a learning journey …

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