Machine Learning for Mobile and Embedded Devices

Machine Learning for Mobile and Embedded Devices
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Thanks to libraries such as Pandas, scikit-learn and Matplotlib it is relatively easy to start exploring datasets and making some first predictions using simple Machine Learning (ML) algorithms in Python. Although, to make these trained models useful in the real world, it is necessary to make them available to make predictions on the Web/Portable devices.


This is a companion discussion topic for the original entry at https://www.freecodecamp.org/news/p/dd45d4c5-e913-4de2-aa9a-768fa187d8cf/