A movie recommendation system based on Cosine Similarity and Pearson's correlation. The dataset has been fetched from kaggle till 2016 and further data has been scraped from wikipedia till 2020. Final data has been used as input for Cosine Similarity. Likewise, Sentiment Analysis has been performed using Logistic Regression on review.txt data and converted dumped into pickel. This project is made for the
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A movie recommender
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