📅 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.