Machine Learning Design Patterns: Solutions to Common Challenges Data Preparation: Data cleaning and transformation techniques Feature engineering and selection strategies Model Building: Model selection and evaluation methods Hyperparameter tuning and optimization techniques MLOps: Model deployment and monitoring strategies * Continuous integration and delivery pipelines