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This project scrapes IMDb's Top 250 movies to gather extensive user reviews, stored in a CSV file for analysis. It includes a machine-learning pipeline and neural network model to classify sentiment and predict ratings from textual reviews, providing insights into audience opinions.
Restaurant ratings in Mexico by real consumers including additional information about each restaurant and their cuisines, and each consumer and their preferences.