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gridsearch-cv

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The rapid growth of social media has led to an increase in user-generated content, making platforms like Twitter a major medium for public communication. However, along with positive engagement, there has also been a surge in hate speech, offensive language, and abusive content. This project aims to address this challenge by developing a ML program

  • Updated Sep 3, 2025
  • Python

ML classification pipeline predicting drinking water safety across 3,276 samples - compares Logistic Regression, Random Forest, and tuned RF (GridSearchCV) on 9 physicochemical features with class imbalance handling and missing value imputation.

  • Updated Apr 20, 2026
  • Jupyter Notebook

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