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Solar Finance Analysis

Project type

Machine Learning

Date

Jul 2023

Location

Columbus, Ohio

https://github.com/hulhul/solar-finance-analysis

- Used Python’s SDV Library to generate synthetic data based on weather, climate, economic, and solar energy conditions of 20 major US cities
- Implemented multicollinearity testing to identify which features should be used in model training
- Performed a Gridsearch and Cross Validation to tune hyperparameters of a Random Forest Regression Model
- Estimates were only on average 15.11% from their actual values

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