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kaggle-style

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Fish weight prediction using machine learning regression models. Includes data preprocessing, EDA, Linear Regression baseline, Random Forest model, hyperparameter tuning, and model interpretation using coefficients and feature importance.

  • Updated Apr 27, 2026
  • Jupyter Notebook

End-to-end ML pipeline for predicting graduate underemployment from NGS 2020 survey data, including EDA, feature engineering, categorical-aware modeling with CatBoost, and ROC AUC validation.

  • Updated Feb 27, 2026
  • Jupyter Notebook

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