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The book serves as a comprehensive guide for aspiring data science professionals, focusing on the Scikit-Learn library and essential machine learning concepts. It integrates the Anaconda Python distribution to explore various supervised and unsupervised algorithms. With clear, practical examples in Python, readers can easily follow along and experiment on their own machines, making it an accessible resource for hands-on learning in the field of data science.
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Hands-on Scikit-Learn for Machine Learning Applications, David Paper
- Language
- Released
- 2019
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- (Paperback)
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