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r-data-cleaning-preprocessing

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SayamAlt / Agricultural-Crop-Yield-Prediction-using-Machine-Learning

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Successfully built a crop yield prediction system using advanced machine learning in R, which leverages agro-environmental, soil, and weather data to forecast agricultural yield (in tons per hectare). It features an automated pipeline for data preprocessing, model training, and evaluation, to support data-driven agricultural decisions.

machine-learning linear-regression regression supervised-learning r-language r-programming r-studio r-packages r-data-visualization r-data-analysis r-data-cleaning-preprocessing
  • Updated Aug 3, 2025
  • R

SayamAlt / Bank-Customer-Churn-Classification-using-Machine-Learning

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Successfully developed a robust customer churn prediction system using advanced machine learning models in R, leveraging techniques like logistic regression, decision trees, random forests, boosting, bagging, SVM, neural networks, and regularization methods (Lasso/Ridge).

machine-learning supervised-learning classification r-language binary-classification r-programming supervised-machine-learning customer-churn-prediction r-data-visualization r-data-analysis r-datastructure r-data-cleaning-preprocessing
  • Updated Jul 27, 2025
  • R

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