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UCSB SERA 2019 Research Project. Identifies and pedicts the NYT Bestsellers.

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NYTimes Classifier/Predictor

UCSB SERA (Science and Engineering Research Academy) 2019 Project. Classifies whether a book is a New York Times Best Seller and predicts the path it will take on the rankings. Developed by Siddhant Arora, Johann Lee, Matthew Lee, and Rohan Vaidya.

Data

Data from Yucesoy et al. and kaggle.com made up our core data. Additional data was obtained from the google-trends-api and Open Library Books API.

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UCSB SERA 2019 Research Project. Identifies and pedicts the NYT Bestsellers.

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