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: - Binary classification (spam/not spam) - Multi-class classification (image categories) - Mul…