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

Classification Types: