End To End Guide For Machine Learning Projects

It's very hard to find a succinct article providing an end-to-end guide to implement a machine learning project. We find many informative articles online providing 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. When I was new to machine learning and data science, I used to seek articles that clearly outlined the steps stating what I need to do to get my project done. This article aims to provide an end-to-end guide for getting a successful machine learning project implemented. In a nutshell, a machine learning project has three main parts: Data Understanding, Data Gathering & Cleaning, And Finally Model Implementation And Tuning.