Yes, Google Colab is free to use and you can access all of its features to a certain degree.
It is mainly used by data scientists and ML engineers. It comes equipped with many Machine Learning libraries and offers GPU usage. Google Colab is a online notebook-like coding environment that is well-suited for machine learning and data analysis.
What are the 3 Common Machine Learning Analysis/Testing Mistakes?. What are some other interesting Google Colab features?. How can I mount external Python files in Google Colab?. How can I save my Google Colab notebook directly to GitHub?. How can I deploy ML algorithms in Google Colab?. How can I visualize data/produce charts using Google Colab?. How can I load Kaggle datasets directly into Google Colab?. Using Machine Learning in Google Colab to predict house prices. How do I enable GPU/TPU usage in Google Colab?. How do I import libraries/install dependencies in Google Colab?. How do I get started with Google Colab?. 
What are the alternatives to Google Colab?. O’Reilly members experience live online training, plus books, videos, and digital content from nearly 200 publishers. Get Python for Data Science For Dummies, 2nd Edition now with the O’Reilly learning platform. Also when using Colab, you may not see the results as presented in this book because of the differences in hardware between. This book includes this chapter mainly for those readers who use something other than a standard desktop setup to work through the examples.īecause you may not be using the same versions of products that appear in this book, the book’s example source code may or may not work precisely as described in the text when you use Colab. In most respects, you use Colab as you would a desktop installation of Jupyter Notebook (also called Notebook throughout the book). You don’t have to install anything on your system to use it. 
Colaboratory ( ), or Colab for short, is a Google cloud-based service that replicates Jupyter Notebook in the cloud.
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