📅 2024-04-18 — Session: Comprehensive Review of Machine Learning Project Developments
🕒 14:40–15:30
🏷️ Labels: Machine Learning, Project Management, Api Development, Ui Design, Model Retraining
📂 Project: Dev
⭐ Priority: MEDIUM
Session Goal
The aim of this session was to review and summarize the key developments and progress made in various machine learning projects, with a specific focus on the diamond price prediction application.
Key Activities
- Candidate Evaluation: Reflected on key aspects for evaluating candidates in data science and engineering, emphasizing technical skills and creativity.
- Machine Learning Project Components: Summarized essential components including model evaluation, data transformation, and hyperparameter tuning.
- Diamond Price Prediction Discussion: Discussed containerization, Docker optimization, cloud deployment, and MLOps for the diamond price prediction project.
- Project Progress Summaries: Compiled daily and weekly summaries of project progress, highlighting MVP development, feature enhancements, model integration, API updates, and UI improvements.
Achievements
- Developed a comprehensive understanding of the project components and their current status.
- Identified key areas for improvement in model retraining, data management, and UI design.
- Enhanced documentation and error handling processes.
Pending Tasks
- Further optimization of Docker and cloud deployment strategies.
- Continued focus on API management and UI design improvements.
- Ongoing assessment of technical debt and performance benchmarking.