Paper Title
Gold Price Prediction
Article Identifiers
Authors
gajula kowsik sai srinivasu , B.vinay sheel , c.srikar , tejaswini , B.Uma maheshwarao
Keywords
Random forest algorithm, SVM, LSTM, Linear regression, XG Boost
Abstract
This abstract provides an overview of a study concentrated on prognosticating the price of gold using machine literacy ways. The price of gold has always been of great interest to investors and fiscal judges. In recent times, the rise of machine literacy ways has led to the development of prophetic models for fiscal requests. This study applies machine literacy algorithms to prognosticate the price of gold using literal data. The dataset used for this study includes diurnal gold prices from January 2000 to December 2021. colorful machine learning algorithms, including Linear Retrogression, Decision Tree Regression, Random Forest Regression, and grade Boosting Retrogression, were trained on the data to prognosticate unborn gold prices. The results indicate that machine literacy algorithms can effectively prognosticate the price of gold. The best- performing algorithm was Gradient Boosting Retrogression, with an delicacy of 94. This demonstrates the eventuality of machine literacy ways for prognosticating the price of gold and furnishing perceptivity to investors and fiscal judges. Overall, this study contributes to the growing body of exploration on applying machine literacy to fiscal requests and demonstrates the utility of prophetic models in the gold request..
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How To Cite
"Gold Price Prediction", IJNRD - INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT (www.IJNRD.org), ISSN:2456-4184, Vol.9, Issue 3, page no.b702-b706, March-2024, Available :https://ijnrd.org/papers/IJNRD2403179.pdf
Issue
Volume 9 Issue 3, March-2024
Pages : b702-b706
Other Publication Details
Paper Reg. ID: IJNRD_208863
Published Paper Id: IJNRD2403179
Downloads: 000121219
Research Area: Computer Science & TechnologyÂ
Country: mangalagiri, andhra pradesh, India
Published Paper PDF: https://ijnrd.org/papers/IJNRD2403179.pdf
Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2403179
About Publisher
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
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This work is licensed under a Creative Commons Attribution 4.0 International License and The Open Definition


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