Abhishek, Kumar
Machine Learning for Imbalanced Data: Tackle imbalanced datasets using machine learning and deep learning techniques
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- ISBN 13:
- 9781801070836
- author:
- Abhishek, Kumar
- format:
- Paperback
- publisher:
- Packt Publishing
- language:
- English
- Publication Year:
- 2023
- Pages:
- 344
- Dimensions:
- 23.5 x 19.1 x 1.8 centimetres (0
- Genre:
- Computers, Computer Science, General,
- Condition:
- New
- Availability:
- Item usually sent within 5 working days
Description
Imbalanced datasets can significantly impact machine learning model performance. This comprehensive guide helps you address these issues and improve your models' accuracy. You'll learn how to use modern machine learning frameworks, including libraries like imbalanced-learn, PyTorch, scikit-learn, pandas, and NumPy, to maximize model performance on imbalanced data. The book also covers cutting-edge deep learning techniques to overcome data imbalance in ML and DL applications. With hands-on examples and working code samples, you'll be able to implement practical solutions to tackle class imbalance and enhance the performance of your machine learning models.
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