5 skills found
Transform, clean, reshape, and preprocess data using pandas and numpy. Works with ANY LLM provider (GPT, Gemini, Claude, etc.).
Feature Engineering Helper - Auto-activating skill for ML Training.Triggers on: feature engineering helper, feature engineering helperPart of the ML Training skill category.
Create, select, and transform features to improve machine learning model performance. Handles feature scaling, encoding, and importance analysis. Use when asked to "engineer features" or "select features". Trigger with relevant phrases based on skill purpose.
Build automated machine learning pipelines with feature engineering, model selection, and hyperparameter tuning.Use when automating ML workflows from data preparation through model deployment.Trigger with phrases like "build automl pipeline", "automate ml workflow", or "create automated training pipeline".
World-class data science skill for statistical modeling, experimentation, causal inference, and advanced analytics. Expertise in Python (NumPy, Pandas, Scikit-learn), R, SQL, statistical methods, A/B testing, time series, and business intelligence. Includes experiment design, feature engineering, model evaluation, and stakeholder communication. Use when designing experiments, building predictive models, performing causal analysis, or driving data-driven decisions.
