This is a summary of a blog post written by Amit Chauhan and originally published on Towards AI. The blog discusses the CRISP ML(Q) methodology and its 6 phases: Data and Business understanding, Data preparation, Model building and Tuning, Evaluation, Model Deployment, and Monitoring and Maintenance. It also delves into the importance of business understanding in solving business problems and maximizing key performance indicators. For the full blog, visit the original post on Medium via Towards AI.
source update: What is CRISP ML(Q) in Machine Learning – Towards AI