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Hands-On Data Science with Anaconda

You're reading from   Hands-On Data Science with Anaconda Utilize the right mix of tools to create high-performance data science applications

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Product type Paperback
Published in May 2018
Publisher Packt
ISBN-13 9781788831192
Length 364 pages
Edition 1st Edition
Languages
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Authors (2):
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James Yan James Yan
Author Profile Icon James Yan
James Yan
Yuxing Yan Yuxing Yan
Author Profile Icon Yuxing Yan
Yuxing Yan
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Table of Contents (15) Chapters Close

Preface 1. Ecosystem of Anaconda FREE CHAPTER 2. Anaconda Installation 3. Data Basics 4. Data Visualization 5. Statistical Modeling in Anaconda 6. Managing Packages 7. Optimization in Anaconda 8. Unsupervised Learning in Anaconda 9. Supervised Learning in Anaconda 10. Predictive Data Analytics – Modeling and Validation 11. Anaconda Cloud 12. Distributed Computing, Parallel Computing, and HPCC 13. References 14. Other Books You May Enjoy

Predictive Data Analytics – Modeling and Validation

Our utmost objective in conducting various data analyses is trying to find patterns in order to predict what might happen in the future. For the stock market, researchers and professionals are conducting various tests to understand market mechanisms. In this case, many questions could be asked. What will the market index level be in the next five years? What will IBM's price range be next year? Will the market volatility increase or decrease in the future? What might be the impact if governments change their tax policies? What is the potential gain and loss if one country launches a trade war with another one? How do we predict a consumer's behavior by analyzing some related variables? Could we predict the probability that an undergraduate student will successfully graduate? Could we find an association between...

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