data-cleaning-pipeline-generator

Early Stopping Callback - Auto-activating skill for ML Training.

Comprehensive ML model evaluation with multiple metrics, cross-validation, and statistical testing.

Train ML models with scikit-learn, PyTorch, TensorFlow.

Scikit-learn model training skill with cross-validation, hyperparameter tuning, pipeline construction, and model serialization.

Handle CE classification workflows for binary and multiclass prediction semantics and class-focused explanation behavior.

Master SOTA data prep for Kaggle comps: automated EDA (Sweetviz), cleaning (Pyjanitor), and feature selection (Polars + XGBoost) for medium datasets…

Use when working with pandas DataFrames, data cleaning, aggregation, merging, or time series analysis.

Master machine learning foundations - algorithms, preprocessing, feature engineering, and evaluation

Master training pipelines - orchestration, distributed training, hyperparameter tuning

Autonomous LLM training optimization with GPU support.

XGBoost gradient boosting library.

Automated data quality reports with comprehensive variable analysis, missing value detection, correlations, and HTML report generation - formerly…