Predicting cement strength
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Updated
Jan 23, 2023 - HTML
Predicting cement strength
The use of Machine Learning Regression models for predicting energy loads of buldings.
A Machine Learning exploration evaluating various models to predict Airbnb prices, culminating in an optimized Gradient Boosting Regressor.
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.
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.
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