An Introduction To Statistical Learning Python
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Springer Nature
An Introduction to Statistical Learning: With Applications in Python
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An Introduction to Statistical Learning: With Applications in R
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An Introduction to Statistical Learning: with Applications in R Springer Texts in Statistics
Books Subjects Computing Internet Computer Science AI Machine Learning Books Subjects Computing Internet Software Graphics Business Home Office Books Subjects Science Nature Maths Mathematics Education Higher Education Books Subjects Science Nature Maths Mathematics Probability Statistics Books Subjects Scientific Technical Medical Mathematics Applied Mathematics Statistics Probability
Product Type: ABIS BOOK
Brand: Springer
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An Introduction to Statistical Learning: with Applications in R (Springer Texts in Statistics)
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This book presents some of the most important modeling and prediction techniques, along with relevant applications
Topics include linear regression, classification, re-sampling methods, shrinkage approaches, tree-based methods, support vector machines, clustering, and more. Color graphics and real-world examples are used to illustrate the methods presented.
Since the goal of this textbook is to facilitate the use of these statistical learning techniques by practitioners in science, industry, and other fields, each chapter contains a tutorial on implementing the analyses and methods presented in R, an extremely popular open source statistical software platform
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Springer
An Introduction to Statistical Learning: with Applications in Python
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MIT Press
Introduction to Computation and Programming Using Python, second edition: With Application to Understanding Data
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Statistical Learning with Math and Python: 100 Exercises for Building Logic (English Edition)
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Packt Publishing
The Statistics and Calculus with Python Workshop: A comprehensive introduction to mathematics in Python for artificial intelligence applications
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Introduction to Python in Earth Science Data Analysis: From Descriptive Statistics to Machine Learning
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Introduction to Python Programming for Business and Social Science Applications (English Edition)
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Springer-Nature New York Inc
A First Course in Statistical Learning: With Data Examples and Python Code
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