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  1. Most-Liked-Restaurant-Features Most-Liked-Restaurant-Features Public

    Utilized a random forest classifier on Yelp restaurant features to see which are correlated with good and bad reviews.

    Jupyter Notebook

  2. Movie-Recommendation-System Movie-Recommendation-System Public

    Built a neural network using data from the MovieLens 1M dataset to recommend movies based on past reviews.

    Jupyter Notebook

  3. NLP-Yelp-Reviews NLP-Yelp-Reviews Public

    Used NLP techniques (topic modeling/NMF, word2vec/similarity) on written Yelp reviews to help a fast food startup strategize their expansion and menu items

    Jupyter Notebook

  4. Optimizing-Street-Teams Optimizing-Street-Teams Public

    Analyzed New York City MTA turnstile data to find time and locations of stations with the most traffic

    Jupyter Notebook

  5. Predicting-Box-Office-Revenues Predicting-Box-Office-Revenues Public

    Performed Ridge and LASSO regression on pre-release YouTube trailer views to determine the impact of trailers on worldwide box office revenues as well as opening weekend, domestic, and internationa…

    Jupyter Notebook

  6. VitMAE VitMAE Public

    Created a Vision Transformer and Masked Autoencoder

    Jupyter Notebook 1