Projects
01. StockCents
Full-Stack application that utilizes sentiment analysis and RandomForestRegressor to
create predictions. Designed with bidirectional LSTM Neural Network.
02. LoL Prediction Model
League of Legends prediction model curated through Kaggle dataset. Uses Decision Tree branching and GridSearchCV to train the model.
03. Weather Forecasting Model
Weather forecasting model that predicts the temperature in New York City. Uses a linear regression model, Ridge.