This project was part of a Data Science hackathon, participants had 7 hours to conduct EDA and build predictive models with a dataset of their choosing.

In this project, I focused on a dataset about Rotten Tomatoes movie reviews. The dataset was comprised of 10K+ text reviews and included classification labels ("Rotten", "Fresh").

My objective was to build a NLP classification model that could predict whether a review was “Rotten” and beat the baseline accuracy (50%).