Everything You Need To Know about Imbalanced Classification

Metrics like F-Measure and ROC AUC
Oversampling with SMOTE
Cost-Sensitive Algorithms
Threshold moving and probability calibration
End-to-end projects on real datasets

Check Out What Customers Are Saying:

The book provides great insights about imbalanced classification cases and one class problems. It helps you understand the cost metrics that must be used and the intuition behind all these stuff.

It is a treatise on the topic of imbalanced datasets. It is clear, well-written and provides real examples and the Python code. Highly recommendable.

Jason’s book is the best resource I’ve seen on this topic and I’m using it to build a high-quality model for my problem.

This is a fab book, like all the books written by Jason.

This is a really good book that it is able to navigate you through all the process and problems you face when you work with imbalanced datasets. It gives you the tools to tackle all this problems

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Everything You Need To Know about Imbalanced Classification

Metrics like F-Measure and ROC AUC
Oversampling with SMOTE
Cost-Sensitive Algorithms
Threshold moving and probability calibration
End-to-end projects on real datasets

Check Out What Customers Are Saying:

The book provides great insights about imbalanced classification cases and one class problems. It helps you understand the cost metrics that must be used and the intuition behind all these stuff.

It is a treatise on the topic of imbalanced datasets. It is clear, well-written and provides real examples and the Python code. Highly recommendable.

Jason’s book is the best resource I’ve seen on this topic and I’m using it to build a high-quality model for my problem.

This is a fab book, like all the books written by Jason.

This is a really good book that it is able to navigate you through all the process and problems you face when you work with imbalanced datasets. It gives you the tools to tackle all this problems

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Imbalanced Classification with Python

Discover the metrics, data sampling, and cost-sensitive algorithms required for imbalanced classification.

Everything You Need To Know about Imbalanced Classification

Check Out What Customers Are Saying:

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Everything You Need To Know about Imbalanced Classification

Check Out What Customers Are Saying: