Machine Learning
Comprehensive machine learning skill covering the full ML lifecycle from experimentation to production deployment.
When to Use This Skill
- Building machine learning pipelines
- Feature engineering and data preprocessing
- Model training, evaluation, and selection
- Hyperparameter tuning and optimization
- Model deployment and serving
- ML experiment tracking and versioning
- Production ML monitoring and maintenance
ML Development Lifecycle
1. Problem Definition
[Description truncada. Veja o README completo no GitHub.]