Book

Learning Data Mining with Python

Offered byPackt Logo

Difficulty Level
Intermediate
Completion Time
11h28m approx.
Language
English
Certification
Not available

About Course

Book Content

chapters 11h28m total length

1. Getting Started with data mining
2. Classifying using scikit-learn estimators
3. Predicting Sports Winners with Decision Trees
4. Recommending Movies using Affinity Analysis
5. Extracting Features with Transformers
6. Detecting Social media spam 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. Detecting objects in images using Deep Neural Networks
12. Getting fit with big data
13. Appendix : Next steps

On this page

Ready to Train Your Team?

Need training for your whole team? Get bulk pricing, LMS integration, and dedicated support.

Trusted by Leading Organizations Worldwide

Join thousands of companies that trust Calibr to power their learning and development initiatives.

Chalet Hotels logo
Pernod Ricard logo
ProMobi logo
Metrique logo
K Raheja Corp logo
Spyne.AI logo
VuNet Systems logo
Procurement Partners logo
vEngage.AI logo
1218 Global logo
TRADEJINI logo
Oben Electric logo
IIT STartups logo
EdTech Digit logo
MindSkillz logo
NewportMed logo

Request Access For Your Organization

Start training your team in minutes!

No credit card required

Related Resources