What is CRISP ML(Q) in Machine Learning
Last Updated on November 21, 2023 by Editorial Team
Author(s): Amit Chauhan
Originally published on Towards AI.
Project management methodology
Photo by Kaleidico on Unsplash
CRISP ML(Q) — CRoss Industry Standard Process for Machine learning with Quality Assurance,
It comprises of 6 phases:
Data and Business understandingData preparationModel building and TuningEvaluationModel DeploymentMonitoring and Maintenance
Data and Business understanding
Business Understanding:
Business understanding comes with the business problem that arises in any kind of work.The goal is to minimize the problem with the help of key performance indicators (KPIs). For example: Employee leaving the company. So the KPIs in this case are NPS(Net Promoter Score), RR(Retention Rate), etc.The business constraint is to maximize the employee's stay time with the help of various perks given by the companies.
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