About this document
CRISP MLQ: Data Mining Methodology by Sudeep Verma is a document available to read on EtoBox.
The document discusses different types of data and methodologies for data analysis. It compares CRISP DM and CRISP MLQ, which are methodologies for data mining and machine learning with quality assurance, respectively. CRISP MLQ includes six phases: business and data understanding, data preparation, model building and tuning, model evaluation, deployment, and monitoring and maintenance. It also defines different types of data like continuous vs discrete, and qualitative vs quantitative data. Measurement sca
- Author
- Sudeep Verma
- Language
- EN