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Business Understanding
- Define objectives and set KPIs
- Analyze overall business of the client
- Establish communication channels through interviews
Data Preparation
- Collect and group data
- Analyze correlations between data variables
- Handle outliers and missing values
ML Model Development
- Develop digital twin model
- Develop search engine model
- Validate model and derive initial results
A/B Testing
- Set test scope and conditions
- Conduct A/B testing and analyze data
- Compare and improve model performance
Commercialization Development
- Discuss model application methods
- Develop model commercialization system
- Plan strategies for model drift
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