Python: Advanced Predictive Analytics (Packt)
Python: Advanced Predictive Analytics (Packt)
Monday, 22 January 2018

How to get started with predictive analytics using Python together with its array of packages for predictive modeling and suites of IDEs to choose from. Ashish Kumar and Joseph Babcock show how analysts can combine Python with sophisticated methods to build scalable analytic applications. The book covers Python libraries such as pandas, scikit-learn, and NumPy, and covers a wide range of algorithms for classification, regression, clustering, as well as techniques such as deep learning.

<ASIN:1788992369>

Authors: Ashish Kumar and Joseph Babcock Date: Dec 2017
Pages: 660
ISBN: 978-1788992367
Print: 1788992369
Kindle: B078NRLXJ2
Audience: Python programmers interested in data analysis
Level: Intermediate
Category: Data Science

 

 

  • A step-by-step guide to predictive modeling including lots of tips, tricks, and best practices
  • Learn how to use popular predictive modeling algorithms such as Linear Regression, Decision Trees, Logistic Regression, and Clustering
  • Master open source Python tools to build sophisticated predictive models
  • Understand the statistical and mathematical concepts behind predictive analytics algorithms and implement them using Python libraries
  • Get to know various methods for importing, cleaning, sub-setting, merging, joining, concatenating, exploring, grouping, and plotting data with pandas and NumPy
  • Master the use of Python notebooks for exploratory data analysis and rapid prototyping
  • Get to grips with applying regression, classification, clustering, and deep learning algorithms
  • Discover advanced methods to analyze structured and unstructured data
  • Visualize the performance of models and the insights they produce
  • Ensure the robustness of your analytic applications by mastering the best practices of predictive analysis

For recommendations of general books on Python programming see Books for Pythonistas and Python Books For Beginners in our Programmer's Bookshelf section. More books on data analysis are to be found there in  Reading Your Way Into Big Data.

Book Watch is I Programmer's listing of new books and is compiled using publishers' publicity material. It is not to be read as a review where we provide an independent assessment. Some, but by no means all, of the books in Book Watch are eventually reviewed.

To have new titles included in Book Watch contact  BookWatch@i-programmer.info

Follow @bookwatchiprog on Twitter or subscribe to I Programmer's Books RSS feed for each day's new addition to Book Watch and for new reviews.

 

Banner
 


Programming in C (4e)

Author: Stephen G. Kochan
Publisher: Addison Wesley
Pages: 600
ISBN: 978-0321776419
Print: 0321776410
Kindle: B00MTUNHDQ
Audience: Newcomers to C
Rating: 4
Reviewer: Alex Armstrong

 

Learning to program in C - is this book a good approach?



Professional Microsoft SQL Server 2016 Reporting Services and Mobile Reports

Author: Paul Turley
Publisher: Wrox Press
Date: January 2017
Pages: 816
ISBN: 978-1119258353
Print: 1119258359
Kindle: B01N12MHZU
Audience: Database developers
Rating: 4.5
Reviewer: Kay Ewbank

This is a new fifth edition of a very successful book on Reporting Services, updated to cover the changes [ ... ]


More Reviews

 
 

   
Banner
RSS feed of all content
I Programmer - full contents
Copyright © 2018 i-programmer.info. All Rights Reserved.
Joomla! is Free Software released under the GNU/GPL License.