It is very difficult to find a concise article containing a comprehensive guide to implement a Machine Learning or Data Science project. There are many online articles that provide detailed information on how we need to implement parts of a Machine Learning/Data Science project. Sometimes, companies only need high-level steps that show a clear overview.
A lot of Data Science project leads today forget about CRISP-DM, which is Cross-industry standard process for data mining created in 1996. In 2015, IBM released a new methodology called Analytics Solutions Unified Method for Data Mining/Predictive Analytics (also known as ASUM-DM) which refines and extends CRISP-DM.[1]