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PJM Weather Based Energy Consumption Prediction

This is a jupyter notebook of a Big Data Analytics final project that uses a Random Forest Classifier to predict regional daily energy usage based on weather and population density data.

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Project that uses Linear Regression, Random Forest, and Neural Network models to predict energy usage patterns in PJM regions.

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