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Getting Started - Setting up the environment


In this session, we will learn how to set up the environment for learning Python for machine learning. The same is available in the blog post here: Python Setup Using Anaconda For Machine Learning and Data Science Tools

We will be using Jupyter for most of the work instead of any other IDE. The Jupyter provides us with a quick way to run python code incrementally. We write our code in cells and press Shift+Enter to run it.

If you have lab subscription of CloudxLab, you can use Jupyter on the right-hand side playground. You do not need to install anything on your local machine.


Code Repository for the course on GitHub

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