What is CRISP-DM? Explain various stages

1.	What is CRISP-DM? Explain various stages
Answer» CRISP-DM stands for Cross Industry Standard Process for Data Mining. It is a methodology for data science programs. It has the following phases: Business understanding – (Typical tasks are: Determine business objective, Assess Situation, Determine Data mining goals, project plan) Data understanding – (Collect initial data, DESCRIBE data, Explore Data, Verify Data Quality) Data preparation – (Select data, Clean data, CONSTRUCT data, Integrate data, Format data) Modelling or Model development – (Select Modelling techniques, Generate test design, Build model, Assess model) Model evaluation – (Evaluate results, Review process, Determine next steps) Deployment – (Plan deployment, Plan MONITORING & maintenance, Product final report & Review Project) Some phases are iterative in nature and any data science project or program which is end to end TYPICALLY follows this methodology. Below is a diagrammatic view for BETTER understanding

Answer»

CRISP-DM stands for Cross Industry Standard Process for Data Mining. It is a methodology for data science programs. It has the following phases:

Business understanding – (Typical tasks are: Determine business objective, Assess Situation, Determine Data mining goals, project plan)
Data understanding – (Collect initial data, DESCRIBE data, Explore Data, Verify Data Quality)
Data preparation – (Select data, Clean data, CONSTRUCT data, Integrate data, Format data)
Modelling or Model development – (Select Modelling techniques, Generate test design, Build model, Assess model)
Model evaluation – (Evaluate results, Review process, Determine next steps)
Deployment – (Plan deployment, Plan MONITORING & maintenance, Product final report & Review Project)

Some phases are iterative in nature and any data science project or program which is end to end TYPICALLY follows this methodology.

Below is a diagrammatic view for BETTER understanding

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