This project focuses on leveraging machine learning and artificial intelligence techniques to contribute to environmental conservation efforts and predict the growing stock of forests in Indian states.

Predicting cement strength

The use of Machine Learning Regression models for predicting energy loads of buldings.

Developed an ensemble voting model that included Random Forests, Linear Regression, Orthogonal Matching Pursuit, and Gradient Boosting Regressor to predict future solar power generated by a solar plant in India at 98.7% accuracy. Placed 1st at the Virginia Tech Computational Modeling & Data Analytics Fall 2022 Data Competition.

A Machine Learning exploration evaluating various models to predict Airbnb prices, culminating in an optimized Gradient Boosting Regressor.