sklearn-model-trainer

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.

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.

Generates data cleaning pipelines for pandas/polars with handling for missing values, duplicates, outliers, type conversions, and data validation.

Master training pipelines - orchestration, distributed training, hyperparameter tuning

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

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…