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blueberry-yield-prediction

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amitkedia007 / Blueberry-Yield-Prediction

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This project is an end-to-end machine learning solution for predicting blueberry yield based on various environmental and biological factors. Using Python and Flask for the back-end and Bootstrap for the front-end, it incorporates data ingestion, transformation, model training, and prediction stages. The prediction model is powered by CatBoost Algo

machine-learning machine-learning-algorithms prediction machinelearning blueberry-yield-prediction cat-boost-algorithm all-regression-models-applied
  • Updated May 23, 2023
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