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(as of Jan 22,2022 08:55:30 UTC – Details)

<All Indian reprints of O’Reilly are printed in grayscale.

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.<Br> 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. <Br> <beget a crash course in Python

Learn the basics of linear algebra, statistics, and Probability 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 recommended systems, natural language processing, network analysis, produce, and databases


Publisher‏:‎Shroff/O’Reilly; Second edition (5 May 2019)
Paperback‏:‎408 pages
Reading age‏:‎10 years and up
Item Weight‏:‎550 g
Dimensions‏:‎24 x 18 x 1 cm
Country of Origin‏:‎India

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