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Hands-On Exploratory Data Analysis with Python

You're reading from   Hands-On Exploratory Data Analysis with Python Perform EDA techniques to understand, summarize, and investigate your data

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Product type Paperback
Published in Mar 2020
Publisher Packt
ISBN-13 9781789537253
Length 352 pages
Edition 1st Edition
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Authors (2):
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Suresh Kumar Mukhiya Suresh Kumar Mukhiya
Author Profile Icon Suresh Kumar Mukhiya
Suresh Kumar Mukhiya
Usman Ahmed Usman Ahmed
Author Profile Icon Usman Ahmed
Usman Ahmed
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Toc

Table of Contents (17) Chapters Close

Preface 1. Section 1: The Fundamentals of EDA
2. Exploratory Data Analysis Fundamentals FREE CHAPTER 3. Visual Aids for EDA 4. EDA with Personal Email 5. Data Transformation 6. Section 2: Descriptive Statistics
7. Descriptive Statistics 8. Grouping Datasets 9. Correlation 10. Time Series Analysis 11. Section 3: Model Development and Evaluation
12. Hypothesis Testing and Regression 13. Model Development and Evaluation 14. EDA on Wine Quality Data Analysis 15. Other Books You May Enjoy Appendix

Further reading

  • Supervised Machine Learning with Python, Taylor Smith, Packt Publishing, May 26, 2019
  • Large Scale Machine Learning with Python, Bastiaan Sjardin, Luca Massaron, et al., Packt Publishing, August 2, 2016
  • Advanced Machine Learning with Python, John Hearty, Packt Publishing, July 27, 2016
  • Hands-On Unsupervised Learning with Python, Giuseppe Bonaccorso, Packt Publishing, February 28, 2019
  • Mastering Machine Learning for Penetration Testing, Chiheb Chebbi, Packt Publishing, June 26, 2018
  • Hands-On Data Science and Python Machine Learning, Frank Kane, Packt Publishing, July 30, 2017
  • Building Machine Learning Systems with Python – Third Edition, Luis Pedro Coelho, Willi Richert, et al., Packt Publishing, July 30, 2018
  • The wine quality dataset is attributed to P. Cortez, A. Cerdeira, F. Almeida, T. Matos, and J. Reis. Modeling wine preferences by data mining from...
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