machine learning
A web interface and REST API for classification and regression using Support Vector Machine (SVM) and Support Vector Regression (SVR) algorithms.
What is machine learning?
Machine Learning is a platform that provides a web interface and REST API for performing classification and regression tasks using Support Vector Machine (SVM) and Support Vector Regression (SVR) algorithms. It allows users to upload datasets, generate machine learning models, and make predictions through either a graphical interface or programmatic calls. The project solves the need for an accessible, self-contained tool to apply specific ML algorithms without deep infrastructure setup.
Data scientists, developers, and researchers who need to implement SVM/SVR models for classification or regression tasks and prefer a tool with both UI and API options. It suits those who want to avoid building custom ML pipelines from scratch.
Developers choose this for its dual-interface approach, offering flexibility for interactive use or automation. Its self-hosted nature and support for standard data formats make it a practical alternative to cloud-based ML services for on-premises or controlled deployments.
Overview
Web-interface + rest API for classification and regression (https://jeff1evesque.github.io/machine-learning.docs)
Use Cases
Best For
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