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My project was aimed to forecast crop yields in India using machine learning regression models. Through a comprehensive dataset encompassing historical crop production, weather, and soil data, four regression models (Decision Tree, Linear Regression, XGBoost, and Random Forest) were evaluated with MSE and MAE metrics.

License: MIT License

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upskill_campus's Introduction

Hi 👋, I'm Sheefa Naaz

Data Science | Data Analysis | AI | ML

coding

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sheefa-naaz

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bash c cplusplus flask git linux mysql objectivec opencv oracle pandas python pytorch scikit_learn seaborn tensorflow

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