Sometimes we just need clearly outlined steps instructing on how to implement a machine learning or data science project. This article aims to provide an end-to-end guide for implementing a successful machine learning project. It can be over-whelming to write the entire guide as one article. Keeping that in mind, I have written a number of easy-to-understand articles and provided their links here so that the readers can understand the steps and navigate to the appropriate article if required. We find many informative articles online that provide an in-depth coverage of how we need to implement parts of a machine learning/data science project but at times, we just need high level steps offering clear guidance.

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