Google colab is the handiest online IDE for Python and Data Science enthusiasts. Released in 2017 for the public, it was initially an internal project used by the Google research team to collaborate on different AI projects. Since then, it has gained a lot of popularity due to its easy to use interface, Jupyter notebooks similarity, and GPU support gave it a boost.

Most of the popular machine learning libraries such as numpy, pandas, seaborn, matplotlib, sklearn, TensorFlow come pre-installed in this cloud environment so you don’t require any explicit prerequisite. You can also install any python package of your choice to run your code. In this article, I will explain to you a simple way to deploy your machine learning model as an API using FastAPI and ngrok.

#deployment #google #vscode #machine-learning

ColabCode: Deploying Machine Learning Models From Google Colab
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