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1. Explainable Generic ML Pipeline with MLflow

   An article detailing how to build a flexible, explainable, and algorithm-agnostic ML pipeline with MLflow, focusing on preprocessing, model training, and SHAP-based explanations.

   2024-11-27 Tags: mlops, pipeline, mlflow, shap, xai, data engineering, feature engineering, machine learning, eda by klotz
2. 7 Best Python Packages Kagglers Are Using Without Telling You | Towards Data Science

   2021-08-09 Tags: data science, data engineering, exploratory data analysis, shap, explainability, machine learning, jupyter, python, training, ensemble by klotz

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