Subscription

0
You have no products in your basket yet

Save more on your purchases!
Savings automatically calculated. No voucher code required

eBook

Print

$38.99
Subscription

$15.99
Monthly
eBook

Print

$38.99
Subscription

$15.99
Monthly
Download this book in **EPUB** and **PDF** formats

Access this title in our online reader with advanced features

- • Grasp all aspects of numerical computing and understand NumPy
- • Explore examples to learn exploratory data analysis (EDA), regression, and clustering
- • Access NumPy libraries and use performance benchmarking to select the right tool

NumPy is one of the most important scientific computing libraries available for Python. Mastering Numerical Computing with NumPy teaches you how to achieve expert level competency to perform complex operations, with in-depth coverage of advanced concepts.
Beginning with NumPy's arrays and functions, you will familiarize yourself with linear algebra concepts to perform vector and matrix math operations. You will thoroughly understand and practice data processing, exploratory data analysis (EDA), and predictive modeling. You will then move on to working on practical examples which will teach you how to use NumPy statistics in order to explore US housing data and develop a predictive model using simple and multiple linear regression techniques. Once you have got to grips with the basics, you will explore unsupervised learning and clustering algorithms, followed by understanding how to write better NumPy code while keeping advanced considerations in mind. The book also demonstrates the use of different high-performance numerical computing libraries and their relationship with NumPy. You will study how to benchmark the performance of different configurations and choose the best for your system.
By the end of this book, you will have become an expert in handling and performing complex data manipulations.

• Perform vector and matrix operations using NumPy
• Perform exploratory data analysis (EDA) on US housing data
• Develop a predictive model using simple and multiple linear regression
• Understand unsupervised learning and clustering algorithms with practical use cases
• Write better NumPy code and implement the algorithms from scratch
• Perform benchmark tests to choose the best configuration for your system

Download this book in **EPUB** and **PDF** formats

Access this title in our online reader with advanced features

Publication date :
Jun 28, 2018

Length
248 pages

Edition :
1st Edition

Language :
English

ISBN-13 :
9781788993357

Category :

Languages :

Concepts :

Tools :

Preface

1. Working with NumPy Arrays

2. Linear Algebra with NumPy

3. Exploratory Data Analysis of Boston Housing Data with NumPy Statistics

4. Predicting Housing Prices Using Linear Regression

5. Clustering Clients of a Wholesale Distributor Using NumPy

6. NumPy, SciPy, Pandas, and Scikit-Learn

7. Advanced Numpy

8. Overview of High-Performance Numerical Computing Libraries

9. Performance Benchmarks

10. Other Books You May Enjoy

Filter

No reviews found

How do I buy and download an eBook?

How can I make a purchase on your website?

Where can I access support around an eBook?

What eBook formats do Packt support?

What are the benefits of eBooks?

What is an eBook?