Machine Learning Scientist with Python Track
1. Supervised Learning with scikit-learn
10. Feature Engineering for Machine Learning in Python
11. Model Validation in Python
12. Introduction to Natural Language Processing in Python
13. Feature Engineering for NLP in Python
14. Introduction to TensorFlow in Python
15. Introduction to Deep Learning in Python
16. Introduction to Deep Learning with Keras
17. Advanced Deep Learning with Keras
18. Image Processing in Python
19. Image Processing with Keras in Python
2. Unsupervised Learning in Python
20. Hyperparameter Tuning in Python
21. Introduction to PySpark
22. Machine Learning with PySpark
23. Winning a Kaggle Competition in Python
3. Linear Classifiers in Python
4. Machine Learning with Tree-Based Models in Python
5. Extreme Gradient Boosting with XGBoost
6. Cluster Analysis in Python
7. Dimensionality Reduction in Python
8. Preprocessing for Machine Learning in Python
9. Machine Learning for Time Series Data in Python
Object-Oriented Programming in Python
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