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INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT International Peer Reviewed & Refereed Journals, Open Access Journal ISSN Approved Journal No: 2456-4184 | Impact factor: 8.76 | ESTD Year: 2016 Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 8.76 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool) , Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI) |
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| Paper Title: | Question Paper Analysis Using Machine Learning |
| Authors Name: | R.K.Sowmiya , S,Sridevi , Sageengrana |
| Download E-Certificate: | Download |
| Author Reg. ID: |
IJNRD_217281
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| Published Paper Id: | IJNRD2404341 |
| Published In: | Volume 9 Issue 4, April-2024 |
| DOI: | |
| Abstract: | 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. |
| Keywords: | overfitting, scikit-learn, TensorFlow, PyTorch, machine learning, algorithms, performance evaluation, healthcare, finance, image recognition, natural language processing, recommendation systems, and reinforcement learning. |
| Cite Article: | "Question Paper Analysis Using Machine Learning", International Journal of Novel Research and Development (www.ijnrd.org), ISSN:2456-4184, Vol.9, Issue 4, page no.d328-d332, April-2024, Available :http://www.ijnrd.org/papers/IJNRD2404341.pdf |
| Downloads: | 00045 |
| 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 |
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Published Paper ID:IJNRD2404341 Registration ID: 217281 Published In: Volume 9 Issue 4, April-2024 DOI (Digital Object Identifier): Page No: d328-d332 Country: Chennai, Tamil Nadu, India Research Area: Engineering Publisher : IJ Publication Published Paper URL : https://www.ijnrd.org/viewpaperforall?paper=IJNRD2404341 Published Paper PDF: https://www.ijnrd.org/papers/IJNRD2404341 |
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ISSN: 2456-4184
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