Data Preprocessing Platform for Machine Learning

Abstract

This software project aims to create a user-friendly web-based application for preprocessing textual data. The system allows users to upload raw data in CSV format and apply various preprocessing techniques using a wizard-based UI. The application provides a help section that explains the techniques and their parameters. The software is developed using Node for the backend and React for the frontend. However, the application's primary constraint is that textual data can only be uploaded in CSV format. The goal of this project is to provide a developer-first approach to make it easy for developers to preprocess their textual data and generate effective models.