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3. Hands-on ensemble learning with python: build highly optimized ensemble machine learning models using scikit-learn and Keras Kyriakides, George, Birmingham ; Packt Publishing, 2019. DSA215 Click to View
4. Python for probability, statistics, and machine learning Unpingco, José, 1969- Cham : Springer, 2019 FIN443
5. Hands-on machine learning with Scikit-Learn, Keras, and TensorFlow: concepts, tools, and techniques to build intelligent systems Géron, Aurélien, Sebastopol, CA : O'Reilly Media, Inc., 2019. DSA215
6. Deep Learning with Python, Third Edition. Chollet, François. New York : Manning Publications Co. LLC, 2025. ADS460
7. Getting started with Natural Language Processing Kochmar, Ekaterina, Shelter Island, NY : Manning Publications, [2022] ENG103
8. Intro to Python for computer science and data science: learning to program with AI, big data and the cloud Deitel, Paul J., New York : Pearson Education, Inc., [2020] ADS151
9. Python crash course: a hands-on, project-based introduction to programming Matthes, Eric, 1972- San Francisco : No Starch Press, [2019] FINT100
10. Practical statistics for data scientists: 50+ essential concepts using R and Python Bruce, Peter C., 1953- , Sebastopol, CA : O'Reilly Media, Inc., 2020. ADS130
