Implemented a model that focuses on predicting the crop yield in advance by analysing states, their geographical area, gross agricultural land area availability and respective production for given years through supervised machine learning regression algorithms like Linear Regression, KNN, and Random Forest Algorithm on previously collected datasets.
kzoieh/Prediction-of-crop-yield-using-ML
Implemented a model that focuses on predicting the crop yield in advance by analysing states, their geographical area, gross agricultural land area availability and respective production for given years through supervised machine learning regression algorithms like Linear Regression, KNN, and Random Forest Algorithm on previously collected datasets
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