Machine Learning

How to Setup Your Python Environment for Machine Learning with Anaconda

Last Updated on September 17, 2020

It can be difficult to install a Python machine learning environment on some platforms.

Python itself must be installed first and then there are many packages to install, and it can be confusing for beginners.

In this tutorial, you will discover how to set up a Python machine learning development environment using Anaconda.

After completing this tutorial, you will have a working Python environment to begin learning, practicing, and developing machine learning and deep learning software.

These instructions are suitable for Windows, Mac OS X, and Linux platforms. I will demonstrate them on OS X, so you may see some mac dialogs and file extensions.

Kick-start your project with my new book Machine Learning Mastery With Python, including step-by-step tutorials and the Python source code files for all examples.

Let’s get started.

  • Update Mar/2017: Added note that you only need one of Theano or TensorFlow to use Keras for Deep Learning.