CRISP-DM Insights

What is CRISP-DM?

CRISP-DM (Cross-Industry Standard Process for Data Mining) is a widely used methodology for planning and executing data mining projects. It provides a structured approach with six phases: Business Understanding, Data Understanding, Data Preparation, Modeling, Evaluation, and Deployment. CRISP-DM helps ensure projects are focused, efficient, and deliver valuable insights.

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What other technologies are related to CRISP-DM?

CRISP-DM Complementary Technologies

Python

Python is a versatile programming language often used in data mining and analysis tasks within the CRISP-DM framework, particularly for data preparation, modeling, and evaluation stages. It complements CRISP-DM by providing the tools to execute the process.

mentioned alongside CRISP-DM in 0% (84) of relevant job posts

SQL

SQL is a standard language for managing and querying databases. It complements CRISP-DM, specifically in the data understanding and data preparation phases, by enabling data extraction, cleaning, and transformation.

mentioned alongside CRISP-DM in 0% (59) of relevant job posts