Enhanced Diamond Pricing Application with MLOps
- Day: 2024-04-18
- Time: 14:40 to 15:30
- Project: Dev
- Workspace: WP 2: Operational
- Status: Completed
- Priority: MEDIUM
- Assignee: Matías Nehuen Iglesias
- Tags: Mlops, Ui Design, Api Management, Diamond Pricing, Machine Learning
Description
Session Goal: The session aimed to enhance the diamond pricing application by integrating MLOps practices, improving UI design, and optimizing API management.
Key Activities:
- Evaluated key aspects for candidate assessment in data science and engineering roles, focusing on technical and soft skills.
- Summarized machine learning project components, including error handling, model development, and visualization.
- Discussed diamond price prediction project, emphasizing Docker optimization, cloud deployment, and UI design.
- Reviewed daily project progress, highlighting MVP development, feature enhancements, and model integration.
- Summarized project enhancements for machine learning applications, focusing on model retraining and API updates.
- Provided updates on data management and model retraining, including dynamic data addition and error handling.
- Outlined project enhancements for diamond pricing application, such as data preprocessing and version control.
Achievements:
- Successfully integrated MLOps practices into the diamond pricing application.
- Improved UI design and API management for better user experience and performance.
Pending Tasks:
- Further optimization of cloud deployment and performance benchmarking for the diamond pricing application.
Evidence
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