A Bridge to Machine Learning for Zero Computer Science Community: A Machine Learning Path with Linear Regression

Abstract

Based on LinkedIn poll results, professionals from non-computer science backgrounds have developed an interest in data science and most intend to enter the field through Machine Learning, but do not know where to start (Webb et al., 2021) The aim of this study is to introduce an ideal systematic approach and workflow to get started with Machine Learning. Since the Linear Regression algorithm is the main algorithm used to introduce the concept of Machine Learning, it was chosen for this study to lay a fundamental platform. Using the proposed algorithm and appropriate python libraries, efficient methods of explanatory data analysis and procedural steps towards model training are also explained. Briefly, this study gives an insight on how to approach other Machine Learning algorithms as well. The first steps in Machine Learning involve data pre-processing. The dataset was chosen to meet data manipulation techniques suitable for people without a computer science background.