Parteek Bhatia

Machine Learning with Python

Principles and Practical Techniques

• Broschiertes Buch

Produktbeschreibung

This textbook presents the theoretical foundations of machine learning along with its practical implementation in Python, to help a beginner learn and implement all aspects of the subject. It will be a vital resource for both students and professionals looking for a primer in data science and machine learning.

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Produktdetails

• Verlag: Cambridge University Press
• Seitenzahl: 850
• Erscheinungstermin: 31. Januar 2025
• Englisch
• ISBN-13: 9781009170246
• ISBN-10: 1009170244
• Artikelnr.: 67677805

Inhaltsangabe

Acknowledgements
Preface
Chapter 1. Beginning with Machine Learning
Chapter 2. Introduction to Python
Chapter 3. Data Pre-processing
Chapter 4. Implementing Data Pre-processing in Python
Chapter 5. Simple Linear Regression
Chapter 6. Implementing Simple Linear Regression
Chapter 7. Multiple Linear Regression and Polynomial Linear Regression
Chapter 8. Implementing Multiple Linear Regression and Polynomial Linear Regression
Chapter 9. Classification
Chapter 10. Support Vector Machine Classifier
Chapter 11. Implementing Classification
Chapter 12. Clustering
Chapter 13. Implementing Clustering
Chapter 14. Association Mining
Chapter 15. Implementing Association Mining
Chapter 16. Artificial Neural Network
Chapter 17. Implementing the Artificial Neural Network
Chapter 18. Deep Learning and Convolutional Neural Network
Chapter 19. Implementing Convolutional Neural Network
Chapter 20. Recurrent Neural Network
Chapter 21. Implementing Recurrent Neural Network
Chapter 22. Genetic Algorithm for Machine Learning
Index.