An introduction to statistical learning: With applications in python

By:

James, Gareth

Contributor(s):

Series: Springer texts in statisticsPublication details: New York, Springer: 2023.Description: xv, 607p., ind., 25 cm X 18 cmISBN:

978-3031387463

Subject(s):

-- mathematical models -- mathematical statistics -- python -- computer program language

DDC classification:

519.5

List(s) this item appears in: New Arrivals 12 February 2024

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Holdings
Item type	Current library	Call number	Materials specified	Status	Date due	Barcode
Books	KEIC	519.5 INT (Browse shelf(Opens below))		Checked out	03/21/2024	22816

Recommended by: Banikanta Mishra

Content:

Introduction
Statistical Learning
Linear Regression
Classification
Resampling Methods
Linear Model Selection and Regularization
Moving Beyond Linearity
Tree-Based Methods
Support Vector Machines
Deep Learning
Survival Analysis and Censored data
Unsupervised Learning
Multiple Testing

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