san-coding/Hackerearth-Windmill-power-prediction-ML-Hackathon

Factors such as temperature, wind direction, turbine status, weather, blade length, and so on influence the amount of power generated. Build a sophisticated Machine Learning model that predicts the power that is generated (in KW/h) based on the various features provided in the dataset.

Jupyter Notebook