Book Content
chapters • 11h56m total length
1. Getting Started with data mining
2. Classification using scikit-learn estimators
3. Predicting Sports Winners with Decision Trees
4. Book Recommendations using Affinity Analysis
5. Features and scikit-learn transformers
6. Social media spam detection using Naive Bayes
7. Follow recommendations using graph mining
8. Beating CAPTCHAs with Neural Networks
9. Authorship attribution
10. Clustering news articles
11. Object Detection in images using Deep Neural Networks
12. Working with Big Data
13. Appendix: Next Steps
