An Introduction to Applied Machine Learning with Multiple Linear Regression and Python

The purpose of this post is to unpack to the layman the basic concepts of applied machine learning and to document how data scientists or data analysts would generally answer a question or solve a problem with data and machine learning algorithms. Hopefully, by the end, you would have a more solid understanding of the steps your data scientist or business intelligence officers should be going through when attempting to apply the power of machine learning to data. Machine learning is a method of data analysis that automates analytical model building. The steps illustrated here are written as a'practical guide' of that method. It covers the broad strokes of the process one would go through when implementing any other similar machine learning algorithms or ideas.