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Python machine learning case studies...

Haroon, Danish.

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Python machine learning case studies = five case studies for the data scientist /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Python machine learning case studies/ by Danish Haroon.
Reminder of title:	five case studies for the data scientist /
Author:	Haroon, Danish.
Published:	Berkeley, CA :Apress : : 2017.,
Description:	xvii, 204 p. :ill., digital ;24 cm.
[NT 15003449]:	Chapter 1: Statistics and Probability -- Chapter 2: Regression -- Chapter 3: Time series models -- Chapter 4: Classification and Clustering -- Chapter 5: Ensemble methods.
Contained By:	Springer eBooks
Subject:	Machine learning. -
Online resource:	http://dx.doi.org/10.1007/978-1-4842-2823-4
ISBN:	9781484228234

Python machine learning case studies = five case studies for the data scientist /
Haroon, Danish.

Python machine learning case studiesfive case studies for the data scientist /[electronic resource] :by Danish Haroon. - Berkeley, CA :Apress :2017. - xvii, 204 p. :ill., digital ;24 cm.

Chapter 1: Statistics and Probability -- Chapter 2: Regression -- Chapter 3: Time series models -- Chapter 4: Classification and Clustering -- Chapter 5: Ensemble methods.

Embrace machine learning approaches and Python to enable automatic rendering of rich insights. The book uses a hands-on case study-based approach to crack real-world applications to which machine learning concepts can be applied. These smarter machines will enable your business processes to achieve efficiencies on minimal time and resources. Python Machine Learning Case Study takes you through the steps to improve business processes and determine the pivotal points that frame strategies. You'll see machine learning techniques that you can use to support your products and services. Moreover you'll learn the pros and cons of each of the machine learning concepts presented. By taking a step-by-step approach to coding in Python you'll be able to understand the rationale behind model selection and decisions within the machine learning process. The book is equipped with practical examples along with code snippets to ensure that you understand the data science approach to solving real-world problems. You will: Gain insights into machine learning concepts Work on real-world applications of machine learning Get a hands-on overview to Python from a machine learning point of view.

ISBN: 9781484228234

Standard No.: 10.1007/978-1-4842-2823-4doiSubjects--Topical Terms:

533906
Machine learning.

LC Class. No.: QA76.73.P98

Dewey Class. No.: 005.133

Python machine learning case studies = five case studies for the data scientist /
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245 1 0 $a Python machine learning case studies $h [electronic resource] : $b five case studies for the data scientist / $c by Danish Haroon.
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300 $a xvii, 204 p. : $b ill., digital ; $c 24 cm.
505 0 $a Chapter 1: Statistics and Probability -- Chapter 2: Regression -- Chapter 3: Time series models -- Chapter 4: Classification and Clustering -- Chapter 5: Ensemble methods.
520 $a Embrace machine learning approaches and Python to enable automatic rendering of rich insights. The book uses a hands-on case study-based approach to crack real-world applications to which machine learning concepts can be applied. These smarter machines will enable your business processes to achieve efficiencies on minimal time and resources. Python Machine Learning Case Study takes you through the steps to improve business processes and determine the pivotal points that frame strategies. You'll see machine learning techniques that you can use to support your products and services. Moreover you'll learn the pros and cons of each of the machine learning concepts presented. By taking a step-by-step approach to coding in Python you'll be able to understand the rationale behind model selection and decisions within the machine learning process. The book is equipped with practical examples along with code snippets to ensure that you understand the data science approach to solving real-world problems. You will: Gain insights into machine learning concepts Work on real-world applications of machine learning Get a hands-on overview to Python from a machine learning point of view.
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