CRISP-DM is a structured approach to data mining projects with six phases: Business Understanding, Data Understanding, Data Preparation, Modelling, Evaluation, and Deployment.
CRISP-DM (Cross-Industry Standard Process Data Mining)
Goals
Define project objectives and requirements
Collect, describe, and explore data
Clean, transform and integrate data
Select, create, and validate models
Evaluate model performance
Plan and monitor the deployment, maintenance, and monitoring of the model.
Best pratices
Clearly define project objectives and requirements in the Business Understanding phase
Invest adequate time in the Data Understanding and Preparation phases to ensure quality data
Evaluate multiple models and select the best-performing one
Continuously monitor and maintain the deployed model.