📅 2024-04-06 — Session: Planned MVP Development for Machine Learning API
🕒 15:00–15:30
🏷️ Labels: MVP, Machine Learning, Api Development, Strategic Planning, Docker
📂 Project: Dev
⭐ Priority: MEDIUM
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.