Nelvinebi / Ocean-Current-Forecasting-with-Time-Series-ML-ModelsView external linksLinks
This project forecasts ocean current speeds using synthetic time series data and machine learning models. It demonstrates how lag-based features and supervised learning (Linear Regression, Random Forest) can be applied to environmental data for predictive analysis and educational purposes.
☆10Jan 2, 2026Updated last month
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