Start Predicting In A World Of Data Science And Predictive Analysis
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About this ebook
The majority of people already know how to predict. For instance, you can predict your age next year. Understanding and visualizing how this prediction works is very simplistic and opens the door for predicting many different types of data. This book is the "How To" for setting up and understanding a simple predictive model.
Matthew Abbitt
Matthew Abbitt was born on February 10th, 1982 in Columbus, OH. He has a Chemistry degree from Miami University (Oxford, OH) and a Juris Doctor degree from Taft Law School. With this background in chemistry, math, technology and the sciences are a constant staple in his life. Using this knowledge to learn how to solve problems and explain them to others has turned into a passion for Matthew.
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Start Predicting In A World Of Data Science And Predictive Analysis - Matthew Abbitt
Start Predicting in a world of data science and predictive analysis
By Matthew A. Abbitt, J.D.
Copyright 2013 by Matthew Abbitt
Smashwords Edition
All rights reserved. Except as permitted under the U.S. Copyright Act of 1976, no part of this publication may be reproduced, distributed, or transmitted in any form or by any means, or stored in a database or retrieval system, without prior written permission of the publisher.
Cover Photo Credit: ©Daioda | Dreamstime.com
Summary: The How To
for setting up and understanding a simple predictive model.
Ebook Formatting by www.ebooklaunch.com
Table of Contents
Introduction
Chapter 1: Finding the Fundamental Data Elements
Chapter 2: Display Time and Total
Chapter 3: Understanding the Straight Line Equation
Chapter 4: Understanding Linear Regression
Chapter 5: Predict Year-over-Year Data
Chapter 6: Predict Data in which the Time is a Repeating Number
Chapter 7: A Simplistic Predictive Model Template
Conclusion
For Tagan and Scarlett
May they always find enlightenment in facts and truth in numbers
Introduction
Data is everywhere. This statement has almost turned into a universal truth. The majority of everything we do in our life gets turned into code that is stored electronically. This electronic information is then used to view trends and to see how and when it is estimated that an action will happen in the future.
This is an important reason that data science is a prevalent field. Many would believe that the statistical analysis of this