Wind Energy Forecasting System Using Machine Learning

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About Course

  • Tools & Languages: Python, R, TensorFlow, SQL, AWS S3, Jupyter Notebooks
  • Objective: Develop a machine learning model that predicts wind energy production based on historical weather data. Use Python and R to analyze data, train the model, and validate its performance. Store datasets and model outputs on AWS S3 for easy access and sharing.
  • Skills Needed: Wind energy systems, time series analysis, machine learning (Python, R, TensorFlow), cloud storage (AWS S3), data analysis.

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