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# Python Machine Learning Blueprints

This is the code repository for [Python Machine Learning Blueprints](https://www.packtpub.com/big-data-and-business-intelligence/python-machine-learning-blueprints?utm_source=github&utm_medium=repository&utm_campaign=9781784394752), published by Packt. It contains all the supporting project files necessary to work through the book from start to finish.

## Instructions and Navigation:

All of the code is organized into folders. Each folder starts with a number followed by the application name. For example, `Chapter02`.

To install the software for code testing, kindly refer to the Software and Hardware Requirement section. To run the code given in the code bundle, follow the steps/instructions given in the book.

### Software and Hardware Requirement:

* Software:
1. All(example):  [Anaconda, Python 3.5-Free](https://www.continuum.io/downloads)
2. Chapter 3:  [PhantomJS-Free](http://phantomjs.org/download.html)

* Hardware:
1. ~350MB of disk space.
2. 16-23MB of disk space.

* OS: Mac OS X, Windows, or Linux

## Related Python books and videos:

* [Designing Machine Learning Systems with Python] (https://www.packtpub.com/big-data-and-business-intelligence/designing-machine-learning-systems-python?utm_source=github&utm_medium=repository&utm_campaign=9781785882951)
* [Functional Python Programming] (https://www.packtpub.com/application-development/functional-python-programming?utm_source=github&utm_medium=repository&utm_campaign=9781784396992)
* [Beginning Python [Video]] (https://www.packtpub.com/application-development/beginning-python-video?utm_source=github&utm_medium=repository&utm_campaign=9781786468994)

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提交于 2016-09-15 15:31 . Update README.md

Python Machine Learning Blueprints

This is the code repository for Python Machine Learning Blueprints, published by Packt. It contains all the supporting project files necessary to work through the book from start to finish.

Instructions and Navigation:

All of the code is organized into folders. Each folder starts with a number followed by the application name. For example, Chapter02.

To install the software for code testing, kindly refer to the Software and Hardware Requirement section. To run the code given in the code bundle, follow the steps/instructions given in the book.

Software and Hardware Requirement:

Software:

All(example): Anaconda, Python 3.5-Free
Chapter 3: PhantomJS-Free

Hardware:

~350MB of disk space.
16-23MB of disk space.

OS: Mac OS X, Windows, or Linux

Related Python books and videos:

[Designing Machine Learning Systems with Python] (https://www.packtpub.com/big-data-and-business-intelligence/designing-machine-learning-systems-python?utm_source=github&utm_medium=repository&utm_campaign=9781785882951)
[Functional Python Programming] (https://www.packtpub.com/application-development/functional-python-programming?utm_source=github&utm_medium=repository&utm_campaign=9781784396992)
[Beginning Python [Video]] (https://www.packtpub.com/application-development/beginning-python-video?utm_source=github&utm_medium=repository&utm_campaign=9781786468994)

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