Imbalanced Classification with Python： Choose Better Metrics， Balance Skewed Classes， and Apply Cost-Sensitive Learning（Jason Brownlee）（Machine Learning Mastery 2021）epub,mobi,azw3,pdf格式kindle电子书下载，作者：

Imbalanced Classification with Python： Choose Better Metrics， Balance Skewed Classes， and Apply Cost-Sensitive Learning（Jason Brownlee）（Machine Learning Mastery 2021）

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Imbalanced Classification with Python： Choose Better Metrics， Balance Skewed Classes， and Apply Cost-Sensitive Learning（Jason Brownlee）（Machine Learning Mastery 2021）

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书名：Imbalanced Classification with Python: Choose Better Metrics, Balance Skewed Classes, and Apply Cost-Sensitive Learning
出版社：Machine Learning Mastery
作者：Jason Brownlee
出版年份：2021
电子书格式： pdf
简介：Master imbalanced classification with Python. This comprehensive guide provides actionable strategies for evaluating models using appropriate metrics, addressing skewed class distributions, and implementing cost-sensitive learning techniques. Learn practical Python implementations for tackling challenges common in real-world datasets.
ISBN：9788468452241, 84684

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下载Imbalanced Classification with Python： Choose Better Metrics， Balance Skewed Classes， and Apply Cost-Sensitive Learning（Jason Brownlee）（Machine Learning Mastery 2021）

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