Question Paper Analysis Using Machine Learning

Registration ID: IJNRD_217281

Published ID: IJNRD2404341

DOI: Click Here to Get

R.K.Sowmiya , S,Sridevi , Sageengrana

overfitting, scikit-learn, TensorFlow, PyTorch, machine learning, algorithms, performance evaluation, healthcare, finance, image recognition, natural language processing, recommendation systems, and reinforcement learning.

Abstract - The purpose of this question paper analyser is to examine how machine learning algorithms can be applied in different fields. The paper focuses on evaluating the performance of these algorithms and applying machine learning approaches to real-world challenges. The study investigates machine learning's potential in a variety of fields, including banking, healthcare, image identification, natural language processing, and recommendation systems. In order to conduct the research, datasets must be gathered and preprocessed, machine learning algorithms must be used, compared, and their accuracy and efficiency must be assessed. The difficulties and restrictions encountered in putting these algorithms into practice are also covered in the paper, including interpretability, data dimensionality, and overfitting. The paper presents the state-of-the-art in machine learning, encompassing reinforcement learning, unsupervised learning approaches like dimensionality reduction and clustering, and supervised learning methods like regression and classification. Additionally, the study looks into the application of well-known machine learning frameworks and libraries, including scikit-learn, TensorFlow, and PyTorch. The outcomes highlight how crucial it is to choose the right algorithms and adjust hyperparameters in order to attain peak performance. The knowledge gathered from this study can help choose the best algorithms for diverse problem domains and improve comprehension of the advantages and disadvantages of different machine learning techniques. All things considered, by providing a detailed analysis and evaluation of its applications, this question paper enhances the state of machine learning research today.

Published Paper   E-Certificate

R.K.Sowmiya, S,Sridevi, & Sageengrana (April-2024). Question Paper Analysis Using Machine Learning. INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT, 9(4), d328-d332. https://ijnrd.org/papers/IJNRD2404341.pdf

Volume 9 Issue 4, April-2024

Pages : d328-d332

Paper Reg. ID: IJNRD_217281

Published Paper Id: IJNRD2404341

Downloads: 000121991

Research Area: Engineering

Country: Chennai, Tamil Nadu, India

Published Paper PDF: https://ijnrd.org/papers/IJNRD2404341.pdf

Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2404341

Journal Name: INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT(IJNRD)

ISSN: 2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar | ESTD YEAR: 2016

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.76 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Publisher: IJNRD (IJ Publication) Janvi Wave | IJNRD.ORG | IJNRD.COM | IJPUB.ORG

This work is licensed under a Creative Commons Attribution 4.0 International License and The Open Definition

Call For Paper - Volume 10 | Issue 10 | October 2025

IJNRD is a Scholarly Open Access, Peer-reviewed, and Refereed Journal with a High Impact Factor of 8.76 (calculated by Google Scholar & Semantic Scholar | AI-Powered Research Tool). It is a Multidisciplinary, Monthly, Low-Cost Journal that follows UGC CARE 2025 Peer-Reviewed Journal Policy norms, Scopus journal standards, and Transparent Peer Review practices to ensure quality and credibility. IJNRD provides indexing in all major databases & metadata repositories, a citation generator, and Digital Object Identifier (DOI) for every published article with full open-access visibility.

The INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT (IJNRD) aims to advance applied, theoretical, and experimental research across diverse fields. Its goal is to promote global scientific information exchange among researchers, developers, engineers, academicians, and practitioners. IJNRD serves as a platform where educators and professionals can share research evidence, models of best practice, and innovative ideas, contributing to academic growth and industry relevance.

Indexing Coverage includes Google Scholar, SSRN, ResearcherID-Publons, Semantic Scholar (AI-Powered Research Tool), Microsoft Academic, Academia.edu, arXiv.org, ResearchGate, CiteSeerX, ResearcherID (Thomson Reuters), Mendeley, DocStoc, ISSUU, Scribd, and many more recognized academic repositories.

How to submit the paper?

By Our website

Click Here to Submit Paper Online

By Mail

Send your paper to editor@ijnrd.org

Important Dates for Current issue

Paper Submission Open For: October 2025

Current Issue: Volume 10 | Issue 10 | October 2025

Impact Factor: 8.76

Last Date for Paper Submission: Till 31-Oct-2025

Notification of Review Result: Within 1-2 Days after Submitting paper.

Publication of Paper: Within 01-02 Days after Submititng documents.

Frequency: Monthly (12 issue Annually).

Journal Type: IJNRD is an International Peer-reviewed, Refereed, and Open Access Journal with Transparent Peer Review as per the new UGC CARE 2025 guidelines, offering low-cost multidisciplinary publication with Crossref DOI and global indexing.

Subject Category: Research Area

Call for Paper: More Details