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Mastering Predictive Analytics with Python
Mastering Predictive Analytics with Python

Mastering Predictive Analytics with Python: Exploit the power of data in your business by building advanced predictive modeling applications with Python

By Joseph Babcock
€32.99 €22.99
Book Aug 2016 334 pages 1st Edition
eBook
€32.99 €22.99
Print
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eBook
€32.99 €22.99
Print
€41.99
Subscription
€14.99 Monthly

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Product Details


Publication date : Aug 31, 2016
Length 334 pages
Edition : 1st Edition
Language : English
ISBN-13 : 9781785882715
Category :
Table of content icon View table of contents Preview book icon Preview Book

Mastering Predictive Analytics with Python

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Key benefits

  • Master open source Python tools to build sophisticated predictive models
  • Learn to identify the right machine learning algorithm for your problem with this forward-thinking guide
  • Grasp the major methods of predictive modeling and move beyond the basics to a deeper level of understanding

Description

The volume, diversity, and speed of data available has never been greater. Powerful machine learning methods can unlock the value in this information by finding complex relationships and unanticipated trends. Using the Python programming language, analysts can use these sophisticated methods to build scalable analytic applications to deliver insights that are of tremendous value to their organizations. In Mastering Predictive Analytics with Python, you will learn the process of turning raw data into powerful insights. Through case studies and code examples using popular open-source Python libraries, this book illustrates the complete development process for analytic applications and how to quickly apply these methods to your own data to create robust and scalable prediction services. Covering a wide range of algorithms for classification, regression, clustering, as well as cutting-edge techniques such as deep learning, this book illustrates not only how these methods work, but how to implement them in practice. You will learn to choose the right approach for your problem and how to develop engaging visualizations to bring the insights of predictive modeling to life

What you will learn

[*] Gain an insight into components and design decisions for an analytical application [*] Master the use Python notebooks for exploratory data analysis and rapid prototyping [*] Get to grips with applying regression, classification, clustering, and deep learning algorithms [*] Discover the advanced methods to analyze structured and unstructured data [*] Find out how to deploy a machine learning model in a production environment [*] Visualize the performance of models and the insights they produce [*] Scale your solutions as your data grows using Python [*] Ensure the robustness of your analytic applications by mastering the best practices of predictive analysis

What do you get with eBook?

Product feature icon Instant access to your Digital eBook purchase
Product feature icon Download this book in EPUB and PDF formats
Product feature icon Access this title in our online reader with advanced features
Product feature icon DRM FREE - Read whenever, wherever and however you want
Buy Now

Product Details


Publication date : Aug 31, 2016
Length 334 pages
Edition : 1st Edition
Language : English
ISBN-13 : 9781785882715
Category :

Table of Contents

16 Chapters
Mastering Predictive Analytics with Python Chevron down icon Chevron up icon
Credits Chevron down icon Chevron up icon
About the Author Chevron down icon Chevron up icon
About the Reviewer Chevron down icon Chevron up icon
www.PacktPub.com Chevron down icon Chevron up icon
Preface Chevron down icon Chevron up icon
1. From Data to Decisions – Getting Started with Analytic Applications Chevron down icon Chevron up icon
2. Exploratory Data Analysis and Visualization in Python Chevron down icon Chevron up icon
3. Finding Patterns in the Noise – Clustering and Unsupervised Learning Chevron down icon Chevron up icon
4. Connecting the Dots with Models – Regression Methods Chevron down icon Chevron up icon
5. Putting Data in its Place – Classification Methods and Analysis Chevron down icon Chevron up icon
6. Words and Pixels – Working with Unstructured Data Chevron down icon Chevron up icon
7. Learning from the Bottom Up – Deep Networks and Unsupervised Features Chevron down icon Chevron up icon
8. Sharing Models with Prediction Services Chevron down icon Chevron up icon
9. Reporting and Testing – Iterating on Analytic Systems Chevron down icon Chevron up icon
Index Chevron down icon Chevron up icon

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