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Titlebook: Hands-on Scikit-Learn for Machine Learning Applications; Data Science Fundame David Paper Book 2020 David Paper 2020 Scikit-Learn.Anaconda

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樓主: 巡洋
31#
發(fā)表于 2025-3-26 21:51:30 | 只看該作者
David Papert al. 1998). Though the term biodiversity has multiple definitions and interpretations, the definition provided by Wilson (1992, 393) may best capture its essence. Wilson emphasizes “the variety of organisms considered at all levels, from genetic variants belonging to the same species through arrays
32#
發(fā)表于 2025-3-27 02:53:46 | 只看該作者
33#
發(fā)表于 2025-3-27 08:48:04 | 只看該作者
David Papersing higher maintenance and rehabilitation costs. Many strategies have been introduced to solve this problem from geometry design to track stiffness equalization. Hence, this research focus on the development of new flowable backfill material for the railway bridge approach which has the combined ef
34#
發(fā)表于 2025-3-27 11:48:34 | 只看該作者
s used to make a quantitative analysis on the surface of the expansive soil crack parameters after the dry-wet circulation with different modified methods. The results show that the soil surface crack rate increases with the number of dry-wet circulation, and tends to a stable state. Adding mixed sa
35#
發(fā)表于 2025-3-27 14:32:02 | 只看該作者
ms..Hands-on Scikit-Learn for Machine Learning Applications. is an excellent starting point for those pursuing a career in machine learning. Students of this book will learn the fundamentals that are a prerequi978-1-4842-5372-4978-1-4842-5373-1
36#
發(fā)表于 2025-3-27 20:41:07 | 只看該作者
37#
發(fā)表于 2025-3-27 23:14:53 | 只看該作者
David Paperam as a proper backfill of the railway bridge approach since the low-weight properties help reduce the pressure to the below weak soil subgrade. The FE simulation also reveals that the settlement resistance of flowable soil is improved compared to the conventional cement-treated base. The high self-
38#
發(fā)表于 2025-3-28 03:31:12 | 只看該作者
Hands-on Scikit-Learn for Machine Learning ApplicationsData Science Fundame
39#
發(fā)表于 2025-3-28 09:13:48 | 只看該作者
Hands-on Scikit-Learn for Machine Learning Applications978-1-4842-5373-1
40#
發(fā)表于 2025-3-28 10:31:36 | 只看該作者
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