In this post you will:
- Install Anaconda [~10 minutes]
- Getting Started with Anaconda Navigator [~3 minutes]
- Running Ordinary Linear Least Squares (OLS) Regression with Python [~3 minutes]
Anaconda is one of the fastest ways to install Python, R, Jupyter etc. It is essentially a software manager that will install and help you organize your data science environment on a local machine. Anaconda Navigator is a very helpful Graphical User Interface (GUI) allowing you to launch various predictive modeling environments (e.g. RStudio), manage different versions of packages, and more.
Step 1: Download & Install Anaconda
You may download and install the Anaconda distribution here: https://www.anaconda.com/download/.
Excellent documentation to aid with your install is available here (windows): https://docs.anaconda.com/anaconda/install/windows/
The video below shows the installation of Anaconda on my machine. The OLS example referenced in the video can be downloaded here.
Step 2: Getting Started with Anaconda Navigator
The following documentation is pretty good to get you up & running with Anaconda: http://docs.anaconda.com/anaconda/user-guide/getting-started/
If the install process was confusing or you had difficulty, please send a comment using the form below.Go back to Volume 2: Practice.