Vanlearning: A Machine Learning SaaS Application for People Without Programming Backgrounds
Chaochen Wu

TL;DR
Vanlearning is a user-friendly SaaS platform enabling non-programmers to perform machine learning tasks through simple clicks, eliminating the need for coding or ML knowledge.
Contribution
It introduces a SaaS application that simplifies machine learning for non-technical users, with an easy-to-maintain architecture and integrated data processing.
Findings
Users can analyze data without coding.
System reduces computational costs with preprocessing.
Easy to extend and maintain architecture.
Abstract
Although we have tons of machine learning tools to analyze data, most of them require users have some programming backgrounds. Here we introduce a SaaS application which allows users analyze their data without any coding and even without any knowledge of machine learning. Users can upload, train, predict and download their data by simply clicks their mouses. Our system uses data pre-processor and validator to relieve the computational cost of our server. The simple architecture of Vanlearning helps developers can easily maintain and extend it.
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Taxonomy
TopicsCloud Computing and Resource Management · Graph Theory and Algorithms · IoT and Edge/Fog Computing
