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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):

Suresh Kumar Mukhiya

Usman 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

Technical requirements

The code for this chapter can be found in the GitHub repository (https://github.com/PacktPublishing/hands-on-exploratory-data-analysis-with-python) inside the folder for Chapter 9, Hypothesis Testing and Regression.

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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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