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Mastering pandas

You're reading from   Mastering pandas A complete guide to pandas, from installation to advanced data analysis techniques

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Product type Paperback
Published in Oct 2019
Publisher
ISBN-13 9781789343236
Length 674 pages
Edition 2nd Edition
Languages
Tools
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Author (1):
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Ashish Kumar Ashish Kumar
Author Profile Icon Ashish Kumar
Ashish Kumar
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Table of Contents (21) Chapters Close

Preface 1. Section 1: Overview of Data Analysis and pandas
2. Introduction to pandas and Data Analysis FREE CHAPTER 3. Installation of pandas and Supporting Software 4. Section 2: Data Structures and I/O in pandas
5. Using NumPy and Data Structures with pandas 6. I/Os of Different Data Formats with pandas 7. Section 3: Mastering Different Data Operations in pandas
8. Indexing and Selecting in pandas 9. Grouping, Merging, and Reshaping Data in pandas 10. Special Data Operations in pandas 11. Time Series and Plotting Using Matplotlib 12. Section 4: Going a Step Beyond with pandas
13. Making Powerful Reports In Jupyter Using pandas 14. A Tour of Statistics with pandas and NumPy 15. A Brief Tour of Bayesian Statistics and Maximum Likelihood Estimates 16. Data Case Studies Using pandas 17. The pandas Library Architecture 18. pandas Compared with Other Tools 19. A Brief Tour of Machine Learning 20. Other Books You May Enjoy

Application of machine learning – Kaggle Titanic competition

To illustrate how we can use pandas to assist us at the start of our machine learning journey, we will apply it to a classic problem, which is hosted on the Kaggle website (http://www.kaggle.com). Kaggle is a competition platform for machine learning problems. The idea behind Kaggle is to enable companies that are interested in solving predictive analytics problems with their data to post their data on Kaggle and invite data scientists to come up with proposed solutions to their problems. A competition can be ongoing over a period of time, and the rankings of the competitors are posted on a leaderboard. At the close of the competition, the top-ranked competitors receive cash prizes.

The classic problem that we will study to illustrate the use of pandas for machine learning with scikit-learn is the Titanic: Machine...

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