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1. RideshareAnalytics RideshareAnalytics Public

   Developed ML models in Python (FNN, Random Forest, Regularized Regression) to analyze Uber/Lyft rideshare data in Boston for price prediction and company classification

   Python

2. CrowdDynamic CrowdDynamic Public

   Using Game Theory and Payoff Matrices in Java to simulate the spread of opinion in a crowd

   Java

3. WikipediaWebscraper WikipediaWebscraper Public

   Using Jsoup to parse HTML from Wikipedia pages about the Oscars

   Java

4. CrabAgePrediction CrabAgePrediction Public

   Using Python to create various ML models (regularized regression, neural nets, random forest) to predict crab age based on data from Boston

   Jupyter Notebook