This project aims to train linear classification models that can recognize the reviewer's sentiment. In this project, we will deal only with positive and negative sentiments (binary classification).
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Pandas for data frames and easy-to-read CSV files.
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Numpy for array and matrix mathematics functions.
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Matplotlib and Seaborn for visualization.
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sklearn for the metrics and pre-processing.
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scipy for helper functions required at various stages of the project.
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warnings are used to suppress notifications from different libraries used in the project.