building-automl-pipelines

Automates ML pipeline creation with AutoML, including feature engineering, model selection, and hyperparameter tuning.

• Builds automated ML pipelines using automl-pipeline-builder.
• Simplifies model selection and hyperparameter tuning.
• Generates complete AutoML workflows with code.
• Incorporates data validation and error handling.

• Automates feature engineering and model selection.
• Generates optimized code for AutoML workflows.
• Includes data validation and error handling.
• Provides performance metrics and insights post-execution.
• Supports integration with data processing and deployment plugins.
• Follows best practices in data preparation and monitoring.
• Enables continuous performance monitoring and retraining.
• Delivers reusable, documented pipeline code.

1. 1.State the ML task and data requirements.
2. 2.The skill analyzes and generates AutoML pipeline code.
3. 3.Review performance metrics and insights provided after execution.