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Machine Learning for Imbalanced Data: Tackle imbalanced datasets using machine learning and deep learning techniques
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Take your machine learning expertise to the next level with this essential guide, utilizing libraries like imbalanced-learn, PyTorch, scikit-learn, pandas, and NumPy to maximize model performance and tackle imbalanced data
Key Features
- Understand how to use modern machine learning frameworks with detailed explanations, illustrations, and code samples
- Learn cutting-edge deep learning techniques to overcome data imbalance
- Explore different methods for dealing with skewed data in ML and DL appl...