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.
For more Book Watch just click.
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.
Android Programming: The Big Nerd Ranch Guide (5e)
Authors: Bryan Sills, Brian Gardner, Brian Hardy and Kristin Marsicano Publisher: Addison-Wesley Pages: 688 ISBN: 978-0137645541 Print: 0137645546 Kindle: B09WLF84W7 Audience: Kotlin programmers Rating: 4.5 Reviewer: Mike James
The Big Nerd Ranch Guide to Android is bac [ ... ]
|
Beginning Rust Programming
Author: Ric Messier Publisher: Wiley Date: March 2021 Pages: 416 ISBN: 978-1119712978 Print: 1119712971 Kindle: B08WZ2D7WC Audience: Developers wanting to learn Rust Rating: 3 Reviewer: Mike James Everyone seems to want to know what makes Rust special. Does this book give the answers?
| More Reviews |
|