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Mastering Numerical Computing with NumPy

You're reading from   Mastering Numerical Computing with NumPy Master scientific computing and perform complex operations with ease

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Product type Paperback
Published in Jun 2018
Publisher Packt
ISBN-13 9781788993357
Length 248 pages
Edition 1st Edition
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Authors (3):
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Tiago Antao Tiago Antao
Author Profile Icon Tiago Antao
Tiago Antao
Mert Cuhadaroglu Mert Cuhadaroglu
Author Profile Icon Mert Cuhadaroglu
Mert Cuhadaroglu
Umit Mert Cakmak Umit Mert Cakmak
Author Profile Icon Umit Mert Cakmak
Umit Mert Cakmak
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Table of Contents (11) Chapters Close

Preface 1. Working with NumPy Arrays FREE CHAPTER 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

Clustering Clients of a Wholesale Distributor Using NumPy

You are definitely advancing your skills by seeing NumPy in action for various use cases. This chapter is about a different type of analysis than what you have seen so far. Clustering is an unsupervised learning technique that is used for understanding and capturing the various formations in your dataset. Since you don't have label to supervise your learning algorithm, in many cases, visualization is the key, which is why you will see various visualization techniques as well.

In this chapter, we will cover the following topics:

  • Unsupervised learning and clustering
  • Hyperparameters
  • Extending simple algorithm to cluster the clients of a wholesale distributor
lock icon The rest of the chapter is locked
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