This article presents a comprehensive breakdown of the complete life cycle, or pipeline, of a Machine Learning project. It meticulously outlines each step involved in the process, providing a clear understanding of their significance and sequential order.

As a beginner, your primary focus should be on steps 1, 2, 3, 4, and 6. These steps lay the foundation for your understanding. Following that, you can proceed to steps 5 and 7, which build upon the earlier stages. Finally, steps 8 and 9 conclude the project life cycle.

Take the time to carefully read and comprehend each step, as well as the rationale behind their sequential arrangement. The knowledge gained from this article will soon be put into practice as you tackle your first challenge.

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Building The Perfect Machine Learning Project: Steps to follow