Book Image

Mastering Python for Data Science

By : Samir Madhavan
Book Image

Mastering Python for Data Science

By: Samir Madhavan

Overview of this book

Table of Contents (19 chapters)
Mastering Python for Data Science
Credits
About the Author
About the Reviewers
www.PacktPub.com
Preface
7
Estimating the Likelihood of Events
Index

Summary


In this chapter, we learned the meaning of data mining. We learned the importance of domain knowledge in performing analysis and how to perform data mining in a systematic manner. We also learned how to present the results of data mining. Toward the end, we took an example and performed a few analyses to extract useful information.

In the next chapter, you'll learn about how to create visualizations on data and where to apply different kinds of visualizations.

Tip

Downloading the example code

You can download the example code files for all Packt books you have purchased from your account at http://www.packtpub.com. If you purchased this book elsewhere, you can visit http://www.packtpub.com/support and register to have the files e-mailed directly to you.

The codes provided in the code bundle are for both IPython notebook and Python 2.7. In the chapters, Python conventions have been followed.