Aim: Create machine learning pipelines for caching data and process automation.

Description: Design and implement machine learning pipelines focused on caching data and automating repetitive processes. The pipelines will streamline workflows and enhance data accessibility for ML tasks.

Objectives:

• Create automated pipelines for data ingestion and preprocessing.
• Integrate caching mechanisms for faster processing.
• Ensure scalability and reliability of the pipelines.

Deliverables:

• Fully operational ML pipelines with caching and automation features.
• Performance benchmarks and scalability tests.
• Detailed documentation for maintenance and enhancements.

Outcome: Efficient ML pipelines that reduce redundant tasks and speed up data handling processes, improving overall productivity.