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Deploying Machine Learning projects using Tkinter

A complete guide towards deploying for free Machine Learning projects as applications in executable file format.

Pier Paolo Ippolito
Towards Data Science
5 min readMay 5, 2020

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Deploying Machine Learning Projects
Photo by R Mo on Unsplash

Introduction

Thanks to a wide variety of open-source libraries, it is relatively easy nowadays 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 share them and make them easily accessible on other users machines to make predictions. Only in this way Machine Learning can be used to provide benefit to society.

In this article, I will walk you through how to easily create a Graphical User Interface (GUI) for your Machine Learning project and then share your application as an executable file which can be run on other machines (whiteout needing the end-user to have Python or any library installed!). In case you are interested in finding out more, all the code used for this article (and more!) is available on…

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Towards Data Science
Towards Data Science

Published in Towards Data Science

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Pier Paolo Ippolito
Pier Paolo Ippolito

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