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Machine Learning for Mobile
book

Machine Learning for Mobile

by Revathi Gopalakrishnan, Avinash Venkateswarlu
December 2018
Intermediate to advanced
274 pages
7h 46m
English
Packt Publishing
Content preview from Machine Learning for Mobile

Technical requirements

To create a model to classify a message as spam or non-spam, we need a library that is capable of doing so. Here, we've selected scikit-Learn.

To write this application, you need to have the Python3+ version installed on your desktop, and Xcode 9+ must be installed on your Mac machine. If you don't have either of these, please check the appendix of this book to learn how to get them. Once you have installed Python in your machine, execute the following commands to get the required packages:

pip install scikit-learn pip install numpypip install coremltoolspip install pandas

Using the preceding code, we installed scikit-learn to get access to the algorithms and NumPy as the scikit-learn requires it, and pandas (pandas ...

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Publisher Resources

ISBN: 9781788629355