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Data Preprocessing Platform for Machine Learning / NC Muhammad Bin Kashif, PC Muhammad Zeeshan Ibrahim, NC Muhammad Kashif Iqbal, PC Umme Abiha

By: Kashif, Muhammad Bin Contributor(s): Supervisor Dr. Naima Altaf Material type: Text

TextMCS, NUST Rawalpindi 2023Description: 85 pSubject(s): UG BESE | BESE-25DDC classification: 005.1,KAS

Contents:

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.

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Item type	Current location	Home library	Call number	Status	Date due	Barcode	Item holds
Project Report	Military College of Signals (MCS)	Military College of Signals (MCS)	005.1,KAS (Browse shelf)	Available		MCSPCS-465

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