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DeepShot is a machine learning model designed to predict NBA game outcomes using advanced team statistics and rolling averages. It combines historical performance trends with contextual game data to deliver highly accurate win predictions (71.60%)
Predictive modeling for Ebola outbreaks to forecast cases, deaths, and fatality ratios using geographical and epidemiological data. This repository includes predictive models, implementation scripts, and a detailed report on methodology, results, and applications in outbreak management.
This project is for forecasting water demand using LSTM, deep learning algorithm. A dashboard is created using the predictions for decision making using Streamlit