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https://github.com/arunkumarramanan/exercises-machine-learning-crash-course-google-developers

Exercises  |  Machine Learning Crash Course  |  Google Developers
https://github.com/arunkumarramanan/exercises-machine-learning-crash-course-google-developers

crash-course deep-learning feature-engineering google-ai google-developers machine-learning machine-learning-practice machine-learning-tutorials neural-networks programing-assignments programming-concepts programming-courses programming-exercises python python-library python-programming tensorflow tensorflow-examples tensorflow-experiments tensorflow-tutorials

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Exercises  |  Machine Learning Crash Course  |  Google Developers

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# Programing Exercises for Machine Learning Crash Course on Google Developers
Exercises  |  Machine Learning Crash Course  |  Google Developers

This page lists the exercises in Machine Learning Crash Course.

The majority of the Programming Exercises use the California housing data set.

Programming exercises run directly in your browser (no setup required!) using the Colaboratory platform. Colaboratory is supported on most major browsers, and is most thoroughly tested on desktop versions of Chrome and Firefox. If you'd prefer to download and run the exercises offline, see these instructions for setting up a local environment.
Except as otherwise noted, the content of this page is licensed under the Creative Commons Attribution 3.0 License, and code samples are licensed under the Apache 2.0 License. For details, see our Site Policies. Java is a registered trademark of Oracle and/or its affiliates.

Last updated July 10, 2018.

Source: https://developers.google.com/machine-learning/crash-course/exercises