Book Image

Python Machine Learning (Wiley)

By : Wei-Meng Lee
Book Image

Python Machine Learning (Wiley)

By: Wei-Meng Lee

Overview of this book

With computing power increasing exponentially and costs decreasing at the same time, this is the best time to learn machine learning using Python. Machine learning tasks that once required enormous processing power are now possible on desktop machines. Python Machine Learning begins by covering some fundamental libraries used in Python that make machine learning possible. You'll learn how to manipulate arrays of numbers with NumPy and use pandas to deal with tabular data. Once you have a firm foundation in the basics, you'll explore machine learning using Python and the scikit-learn libraries. You'll learn how to visualize data by plotting different types of charts and graphs using the matplotlib library. You'll gain a solid understanding of how the various machine learning algorithms work behind the scenes. The later chapters explore the common machine learning algorithms, such as regression, clustering, and classification, and discuss how to deploy the models that you have built, so that they can be used by client applications running on mobile and desktop devices. By the end of the book, you'll have all the knowledge you need to begin machine learning using Python.
Table of Contents (16 chapters)
Free Chapter
CHAPTER 9: Supervised Learning—Classification Using K‐Nearest Neighbors (KNN)
End User License Agreement

Getting the Tools

For this book, all of the examples are tested using Python 3 and the Scikit‐learn library, a Python library that implements the various types of machine learning algorithms, such as classification, regression, clustering, decision tree, and more. Besides Scikit‐learn, you will also be using some complementary Python libraries—NumPy, Pandas, and matplotlib.

While you can install the Python interpreter and the other libraries individually on your computer, the trouble‐free way to install all of these libraries is to install the Anaconda package. Anaconda is a free Python distribution that comes with all of the necessary libraries that you need to create data science and machine learning projects.

Anaconda includes the following:

  • The core Python language
  • The various Python packages (libraries)
  • conda, Anaconda's own package manager for updating Anaconda and packages
  • Jupyter Notebook (formerly known as iPython Notebook), a web‐based...