Make sense of your data and predict the unpredictable
About This Book
- A unique book that focuses on developing practical skills to make informed business decisions using predictive analytics
- Apply the principles and techniques of predictive analytics to effectively interpret big data
- Solve real-world analytical problems with the help of practical case studies and real-world scenarios
This book is for those with a mathematical/statistics background who wish to understand the concepts, techniques, and implementation of predictive analytics to resolve complex analytical issues. Basic familiarity with a programming language is expected.
What You Will Learn
- Find out how predictive analytics work
- Identify, model, and prioritize the decisions you need to optimize
- Classify the right algorithm for your requirements
- Use and apply predictive analytics to research problems in healthcare
- Implement predictive analytics to retain and acquire your customers
- Use text mining to understand unstructured data
This is a go-to book for anyone interested in predicting actions of people, businesses, and more. With this book, you will learn the entire process of predictive analytics and modeling techniques to practically implement them.
You'll get started with the basics of predictive analytics and its applications along with the installation and set up of the tools. Once you have completed the installation, get ready for an exciting journey to uncover answers to hidden questions. You will learn about entering the data (or should I say dirty data), cleaning the data, and apply modeling techniques to this data. When you have done the crucial bit and cleaned the data, we'll tell you stories from within and let you visit the future.
"You" - the fortune teller now can predict the number of expected re-admissions in a hospital or even the place where a virus may hit next. Wouldn't it be great if you could predict the injury and insurance claim payments based on the characteristics of the insured's vehicle or predict load defaults? Are you going to acquire those 10k customers for your start-up? Build your own model and answer this crucial question yourselves in the later part of the book.
The journey does not end here, and you will learn to present your results with fantastic visualizations to showcase your results to the world. By the end of this book, you'll have learned about, implemented, and mastered predictive analytic techniques.
|Sold by:||Barnes & Noble|
|File size:||8 MB|
About the Author
Ralph Winters started his career as a database researcher for a music performing rights organization (he composed as well!), and then branched out into healthcare survey research, finally landing in the Analytics and Information technology world. He has provided his statistical and analytics expertise to many large fortune 500 companies in the financial, direct marketing, insurance, healthcare, and pharmaceutical industries. He has worked on many diverse types of predictive analytics projects involving customer retention, anti-money laundering, voice of the customer text mining analytics, and health care risk and customer choice models.
He is currently data architect for a healthcare services company working in the data and advanced analytics group. He enjoys working collaboratively with a smart team of business analysts, technologists, actuaries as well as with other data scientists.
Ralph considered himself a practical person. In addition to authoring Practical Predictive Analytics for Packt Publishing, he has also contributed two tutorials illustrating the use of predictive analytics in Medicine and Healthcare in Practical Predictive Analytics and Decisioning Systems for Medicine: Miner et al., Elsevier September, 2014, and also presented Practical Text Mining with SQL using Relational Databases, at the 2013 11th Annual Text and Social Analytics Summit in Cambridge, MA.
Ralph resides in New Jersey with his loving wife Katherine, amazing daughters Claire and Anna, and his four-legged friends, Bubba and Phoebe, who can be unpredictable.
Ralph's web site can be found at ralphwinters.com