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Available4.6
12 reviews近年来，Python语言成为了广受欢迎的编程语言，而它在机器学习领域也有很好的表现。scikit-learn是一个用Python语言编写的机器学习算法库，它可以实现一系列常用的机器学习算法，是一个好工具。
本书通过14章内容，详细地介绍了一系列机器学习模型和scikit-learn的使用技巧。本书从机器学习的基础理论讲起，涵盖了简单线性回归、K-近邻算法、特征提取、多元线性回归、逻辑回归、朴素贝叶斯、非线性分类、决策树回归、随机森林、感知机、支持向量机、人工神经网络、K-均值算法、主成分分析等重要话题。
本书适合机器学习领域的工程师学习，也适合想要了解scikit-learn的数据科学家阅读。通过阅读本书，读者将有效提升自己在机器学习模型的构建和评估方面的能力，并能够高效地解决机器学习难题。
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