- Mastering Python Data Visualization
- Table of Contents
- Mastering Python Data Visualization
- Credits
- About the Author
- About the Reviewers
- www.PacktPub.com
- Preface
- 1. A Conceptual Framework for Data Visualization
- 2. Data Analysis and Visualization
- 3. Getting Started with the Python IDE
- 4. Numerical Computing and Interactive Plotting
- 5. Financial and Statistical Models
- 6. Statistical and Machine Learning
- Classification methods
- Understanding linear regression
- Linear regression
- Decision tree
- The Bayes theorem
- The Naïve Bayes classifier
- The Naïve Bayes classifier using TextBlob
- Viewing positive sentiments using word clouds
- k-nearest neighbors
- Logistic regression
- Support vector machines
- Principal component analysis
- k-means clustering
- Summary
- 7. Bioinformatics, Genetics, and Network Models
- 8. Advanced Visualization
- A. Go Forth and Explore Visualization
- Index
Author
Kirthi Raman
Reviewers
Julian Quick
Hang (Harvey) Yu
Acquisition Editor
Subho Gupta
Content Development Editor
Riddhi Tuljapurkar
Technical Editor
Humera Shaikh
Copy Editors
Relin Hedly
Sonia Mathur
Project Coordinator
Kinjal Bari
Proofreader
Safis Editing
Indexer
Monica Ajmera Mehta
Graphics
Abhinash Sahu
Jason Monteiro
Production Coordinator
Nilesh Mohite
Cover Work
Nilesh Mohite
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