Resources & References
Duration: 45 min
Resources & References
Duration: 45 min
Course Summary
Congratulations on completing this course! You now have practical knowledge that you can apply to real projects.
Recommended Next Steps
1. Practice — Build a small project using what you learned 2. Explore — Try related courses on AI Learning Club 3. Community — Join our Discord to discuss with fellow learners 4. Contribute — Share your projects and help others
Additional Resources
Documentation
- [Python Official Docs](https://docs.python.org/3/)
- [NumPy User Guide](https://numpy.org/doc/)
- [Pandas Documentation](https://pandas.pydata.org/docs/)
- [Scikit-learn User Guide](https://scikit-learn.org/stable/user_guide.html)
Books
- Hands-On Machine Learning by Aurélien Géron
- Python Data Science Handbook by Jake VanderPlas
- Deep Learning by Ian Goodfellow
Online Resources
- Kaggle (datasets and competitions)
- Papers With Code (latest research)
- AI Learning Club Discord community
Quiz
Q1: What's the best way to solidify your learning?
- A) Re-read notes
- B) Build projects and practice ✓
- C) Watch more videos
- D) Memorize formulas