This dissertation attempt to explain the process of building an open-source platform for
data science that allows users to easily upload their data or connect to data sources,
visualize said data, and create machine learning models to solve common problems in the
field. Everything is implemented with a simple-to-use web-based graphical interface, and
is designed for usage/deployment in a cloud environment.
This project came about with the help of my supervisor and mentor, Prof. Ioannis
Magnisalis, and fellow students – the team that helped in the implementation of the first
version - Vaso Tsichli, George Katrilakas, and Chris Timamopoulos. And a shout-out to
the thousands of contributors of the open-source tools that this project used, mainly of
plotly/dash and the SciPy stack.
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