Cross Industry Standard Process for Data Mining (CRISP-DM) is a process methodology for developing data mining applications. It was created before the term data science became popular, it's reliable and time-tested by several generations of analytics. These practices are still useful nowadays and describe the high-level steps of any analytical project quite well.
The CRISP-DM methodology breaks down a project into the following steps:
- Business understanding
- Data understanding
- Data preparation
- Modeling
- Evaluation
- Deployment
The methodology itself defines ...
