Stock Market Price Prediction Using Machine Learning

Registration ID: IJNRD_216647

Published ID: IJNRD2403534

DOI: Click Here to Get

Arpitha Mantrodi , Amruthhamshu M G , Shwetha M C , Ankith M S

Decision Tree, Random forest,Linear Decriminant Analysis and Logistics Regression

! Nowadays,stock trading is an essential component of the finance industry. Because the market is always changing, using machine learning to forecast stock values could be challenging. Conversely, however we can more efficiently analyse and visualise stock price projections by utilising machine learning techniques. Many models that machine learning provides aid in improving the precision and dependability of these forecasts. People who are eager to learn more about purchasing or selling stocks may find this to be very helpful as it offers insightful information. It's incredible how technology enables us to forecast stock price movements for businesses worldwide. You might start by looking through books and online courses on machine learning for finance. They can offer insightful advice and help you navigate the process of building models that forecast stock price prediction.

Published Paper   E-Certificate

Arpitha Mantrodi, Amruthhamshu M G , Shwetha M C , & Ankith M S (March-2024). Stock Market Price Prediction Using Machine Learning . INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT, 9(3), f313-f317. https://ijnrd.org/papers/IJNRD2403534.pdf

Volume 9 Issue 3, March-2024

Pages : f313-f317

Paper Reg. ID: IJNRD_216647

Published Paper Id: IJNRD2403534

Downloads: 000121989

Research Area: Computer Science & Technology 

Country: Shimoga , Karnataka, India

Published Paper PDF: https://ijnrd.org/papers/IJNRD2403534.pdf

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

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

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