IMDB Movies Dataset Preprocessing and Classification

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Developed a content-based recommendation system using Pandas and

Scikit-Learn, utilizing cosine similarity to generate personalized movie

suggestions.

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Processed a dataset of 1001 movies, performing rigorous cleaning of null

values and duplicates to ensure data integrity.

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Visualized genre distributions and rating trends using Matplotlib, deriving

actionable insights on viewer preferences to refine the recommendation

logic.