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tuning

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oracle-samples / automlx

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This repository contains demo notebooks (sample code) for the AutoMLx (automated machine learning and explainability) package from Oracle Labs.

python data-science machine-learning ai oracle regression tuning hyperparameter-optimization classification fairness automl mlx automated-machine-learning interpretability timeseries-forecasting fairness-ai explainability machine-learning-explainability unsupervised-anomaly-detection automlx
  • Updated Jun 25, 2025

Steffin12-git / Decision-Tree-Hr-analystics

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This notebook demonstrates an end-to-end, reproducible ML workflow with business-oriented communication: clear EDA, rigorous CV & hyperparameter tuning, interpretable feature importances, visual diagnostics, and an exported pipeline ready for production validation.

python pandas tuning preprocessing hyperparameter grid-search-hyperparameters onehot-encoding pipleline grid-search-cross-validation standard-scaler seabiorn atplotlip-pyplot encodong
  • Updated Aug 16, 2025
  • Jupyter Notebook

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