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CRC Press Machine Learning for Decision Sciences in Python

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Description

Master machine learning algorithms and data science life cycle applications with this comprehensive guide from CRC Press. This book offers a practical approach to data analytics, covering essential topics such as linear regression, logistic regression, and Python programming for machine learning. Gain hands-on experience through complete code and implementation for real-world scenarios. The text provides specific case studies across several industries, including electrical, oil and gas, e-commerce, and hi-tech sectors. By focusing on the patterns involved in decision science, this resource helps you effectively handle data using Python to solve complex problems in modern data mining and management.

Key Features

Learn core machine learning algorithms including linear and logistic regression through practical Python implementations.

Apply data science life cycle concepts to real-world scenarios with complete code provided for each example.

Explore industry-specific case studies covering the electrical, oil and gas, e-commerce, and hi-tech sectors.

Understand the role of Python programming in managing data patterns for effective decision science.

Develop practical skills in data analytics and machine learning through detailed technical descriptions.

Product Specifications

Format
hardcover
Domain
Amazon UK
Release Date
08 July 2022
Listed Since
01 December 2021

Barcode

No barcode data available

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