- Learning Data Mining with Python
- Table of Contents
- Learning Data Mining with Python
- Credits
- About the Author
- About the Reviewers
- www.PacktPub.com
- Preface
- 1. Getting Started with Data Mining
- 2. Classifying with scikit-learn Estimators
- 3. Predicting Sports Winners with Decision Trees
- 4. Recommending Movies Using Affinity Analysis
- 5. Extracting Features with Transformers
- 6. Social Media Insight Using Naive Bayes
- 7. Discovering Accounts to Follow Using Graph Mining
- 8. Beating CAPTCHAs with Neural Networks
- 9. Authorship Attribution
- 10. Clustering News Articles
- 11. Classifying Objects in Images Using Deep Learning
- 12. Working with Big Data
- A. Next Steps…
- Chapter 1 – Getting Started with Data Mining
- Chapter 2 – Classifying with scikit-learn Estimators
- Chapter 3: Predicting Sports Winners with Decision Trees
- Chapter 4 – Recommending Movies Using Affinity Analysis
- Chapter 5 – Extracting Features with Transformers
- Chapter 6 – Social Media Insight Using Naive Bayes
- Chapter 7 – Discovering Accounts to Follow Using Graph Mining
- Chapter 8 – Beating CAPTCHAs with Neural Networks
- Chapter 9 – Authorship Attribution
- Chapter 10 – Clustering News Articles
- Chapter 11: Classifying Objects in Images Using Deep Learning
- Chapter 12 – Working with Big Data
- More resources
- Index
Author
Robert Layton
Reviewers
Asad Ahamad
P Ashwin
Christophe Van Gysel
Edward C. Delaporte V
Commissioning Editor
Taron Pereira
Acquisition Editor
James Jones
Content Development Editor
Siddhesh Salvi
Technical Editor
Naveenkumar Jain
Copy Editors
Roshni Banerjee
Trishya Hajare
Project Coordinator
Nidhi Joshi
Proofreader
Safis Editing
Indexer
Priya Sane
Graphics
Sheetal Aute
Production Coordinator
Nitesh Thakur
Cover Work
Nitesh Thakur
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