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Data Science from Scratch: First Principles with Python, 2nd Edition (True PDF)

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English | 2019 | ISBN: 1492041130 | 398 pages | True PDF | 9.97 MB

To really learn data science, you should not only master the tools—data science libraries, frameworks, modules, and toolkits—but also understand the ideas and principles underlying them. Updated for Python 3.6, this second edition of Data Science from Scratch shows you how these tools and algorithms work by implementing them from scratch.
If you have an aptitude for mathematics and some programming skills, author Joel Grus will help you get comfortable with the math and statistics at the core of data science, and with the hacking skills you need to get started as a data scientist. Packed with new material on deep learning, statistics, and natural language processing, this updated book shows you how to find the gems in today’s messy glut of data.
[list]
[*]Get a crash course in Python
[*]Learn the basics of linear algebra, statistics, and probability—and how and when they’re used in data science
[*]Collect, explore, clean, munge, and manipulate data
[*]Dive into the fundamentals of machine learning
[*]Implement models such as k-nearest neighbors, Naïve Bayes, linear and logistic regression, decision trees, neural networks, and clustering
[*]Explore recommender systems, natural language processing, network analysis, MapReduce, and databases
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    Finally I get this ebook, thanks for all these Data Science From Scratch First Principles With Python I can get now! I did not think that this would work, my best friend showed me this website, and it does! I get my most wanted eBook

    Анатолий 3个月前 (08-18) Ukraine 谷歌浏览器 Windows 10 Reply

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