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

Product type Paperback

Published in Mar 2020

Publisher Packt

ISBN-13 9781789537253

Length 352 pages

Edition 1st Edition

Languages

Python

Tools

NumPy

Concepts

Data Analysis

Authors (2):

Kumar Mukhiya

Ahmed

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Table of Contents (17) Chapters

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

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Appendix

Pandas Cookbook: Recipes for Scientific Computing, Time Series Analysis and Data Visualization using Python, First Edition, by Theodore Petrou, Packt, 2017
Mastering Pandas, Second Edition, by Ashish Kumar, Packt, October 25, 2019
Learning Pandas, Second Edition, by Michael Heydt, Packt, June 29, 2017
Petr Aubrecht, Zdenek Kouba: Metadata driven data transformation; retrieved from http://labe.felk.cvut.cz/~aubrech/bin/Sumatra.pdf

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Authors (2)

Kumar Mukhiya

Suresh Kumar Mukhiya is a PhD candidate, currently affiliated to the Western Norway University of Applied Sciences (HVL). He is a big data enthusiast, specializing in Information Systems, Model-Driven Software Engineering, Big Data Analysis, Artificial Intelligence and Frontend development. He has completed a Masters in Information Systems from the Norwegian University of Science and Technology (NTNU, Norway) along with a thesis in processing mining. He also holds a bachelor's degree in computer science and information technology (BSc.CSIT) from Tribhuvan University, Nepal, where he was decorated with the Vice-Chancellor's Award for obtaining the highest score. He is a passionate photographer and a resilient traveler.

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Ahmed

Usman Ahmed is a data scientist and Ph.D. candidate at Western Norway University of Applied Science (HVL). He has rich experience in building and scaling high-performance systems based on data mining, natural language processing, and machine learning. Usman's research interests are sequential data mining, heterogeneous computing, natural language processing, a recommendation system, and machine learning. He has completed a Master's of Science in computer science from Capital University of Science and Technology, Islamabad, Pakistan. Usman Ahmed was awarded Gold Medal in Bachelor of Computer Science from Heavy Industries Taxila Education City.

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