Planned MVP Development for Machine Learning API

• Day: 2024-04-06
• Time: 15:00 to 15:30
• Project: Dev
• Workspace: WP 2: Operational
• Status: In Progress
• Priority: MEDIUM
• Assignee: Matías Nehuen Iglesias
• Tags: MVP, Machine Learning, Api Development, Strategic Planning, Docker

Description

Session Goal: The session aimed to plan a comprehensive 4-hour development sprint for a Minimum Viable Product (MVP) focusing on a machine learning API to predict diamond prices.

Key Activities:

• Outlined a structured session plan covering scope definition, data preprocessing, model training, API development, containerization with Docker, testing, and documentation.
• Reflected on the feedback received regarding the plan, focusing on scoping, data handling, and model choice.
• Identified areas needing additional information, such as project goals, technical specifications, dataset characteristics, model complexity, API specifications, deployment considerations, existing resources, project constraints, team roles, and risk management.

Achievements:

• Established a detailed plan for a strategic 4-hour session to develop a machine learning API, incorporating MVP development strategies and industry best practices.

Pending Tasks:

• Gather additional information on project goals, technical specifications, dataset characteristics, model complexity, API specifications, deployment considerations, existing resources, project constraints, team roles, and risk management.

Evidence

• source_file=2024-04-06.sessions.jsonl, line_number=0, event_count=0, session_id=c883d2d32afb20621a1a670daaf9d98e101575531b80b3c97b0df0563ae9141e
• event_ids: []