📅 2024-04-06 — Session: Developed MVP Plan for Machine Learning API
🕒 15:00–15:30
🏷️ Labels: MVP, Machine Learning, Api Development, Diamond Pricing
📂 Project: Dev
⭐ Priority: MEDIUM
Session Goal
The session aimed to develop a structured plan for creating a Minimum Viable Product (MVP) of a machine learning API that predicts diamond prices.
Key Activities
- Scope Definition: Established the scope for the MVP, focusing on a 4-hour development session.
- Data Preprocessing: Outlined steps for preparing the dataset for model training.
- Model Training: Discussed the use of Random Forest for model evaluation.
- API Development: Planned the API structure using Flask.
- Containerization: Considered Docker for deployment.
- Testing and Documentation: Highlighted the importance of testing and documentation for the MVP.
Achievements
- Created a comprehensive plan for a 4-hour sprint to develop a machine learning API.
- Clarified project goals, technical specifications, and dataset characteristics.
Pending Tasks
- Further details needed on project constraints, team roles, and risk management to tailor the guidance for the MVP session.