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.

https://doi.org/10.59200/ICONIC.2022.005