1 Introduction
This is a book created from markdown and executable code.
1.1 Overview
This book will mainly focus on explaining the major steps in the Machine Learning process with reference to the CRISP-DM model. For easy use of this book, each step in the process will give a basic illustration in order to understand how it is implemented using R.
For an individual to have the knowledge of Machine Learning only is not enough to bring impact the decisions people make individually or in a business organization. Knowing the financial implication of Machine Learning equips you with modern, classical, and state-of-the-art tools for business. Therefore, in addition to steps in the Machine Learning process and its financial benefits to Business Science, this book will include the domain area in which it is applied mainly to Financial Services π°, Food & Beverages π§π½οΈ, Retail & E-commerce π, Education π, and Product Distribution π, Manufacturing π and Real Estate ποΈ.
In order to meet the demands of customersβ needs, one must have the tools that enable customers to connect to your variety of services. This
