• 博客(0)
  • 资源 (1)

空空如也

92 Applied Predictive Modeling Techniques in R-LEWIS-2015.pdf

About This Book This jam-packed book takes you under the hood with step by step instructions using the popular and free R predictive analytics package. It provides numerous examples, illustrations and exclusive use of real data to help you leverage the power of predictive analytics. A b o ok for every data analyst, student and applied researcher. Here is what it can do for you: • BOOST PRODUCTIVITY: Bestselling author and data scientist Dr. N.D. Lewis will show you how to build predictive analytic models in less time than you ever imagined possible! Even if you’re a busy professional or a student with little time. By spending as little as 10 minutes a day working through the dozens of real world examples, illustrations, practitioner tips and notes, you’ll be able to make giant leaps forward in your knowledge, strengthen your business performance, broaden your skill-set and improve your understanding. • SIMPLIFY ANALYSIS: You will discover over 90 easy to follow applied predictive analytic techniques that can instantly expand your modeling capability. Plus you’ll discover simple routines that serve as a check list you repeat next time you need a specific model. Even better, you’ll discover practitioner tips, work with real data and receive suggestions that will speed up your progress. So even if you’re completely stressed out by data, you’ll still find in this book tips, suggestions and helpful advice that will ease your journey through the data science maze. • SAVE TIME: Imagine having at your fingertips easy access to the very best of predictive analytics. In this book, you’ll learn fast effective ways to build powerful models using R. It contains over 90 of the most successful models used for learning from data; with step by step instructions on how to build them easily and quickly. • LEARN FASTER: 92 Applied Predictive Modeling Techniques in R offers a practical results orientated approach that will boost your productivity, expand your knowledge and create new an

2019-09-16

空空如也

TA创建的收藏夹 TA关注的收藏夹

TA关注的人

提示
确定要删除当前文章?
取消 删除