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Stock Prediction Using Deep Learning Approach
Subject area: Science,Engineering and Technology · Area of research: Machine learning Deep Learning
Abstract
I am also using data processing Algorithm and we decide which side has an impact The easiest ending to predict the future.Stock market forecast Trying to determine the long-term value of the company Stocks and other financial products change. In the recent trend of Stock Market Prediction Technologies machine learning has integrated itself in the picture for deployment and prediction of training sets and data models.
How to cite this paper
Yogita Govardhan Suryavanshi, Megha Prakash Dhonde, Rasika Popat Jamdar "Stock Prediction Using Deep Learning Approach" Iconic Research And Engineering Journals Volume 5 Issue 11 2022 Page 93-95
Yogita Govardhan Suryavanshi, Megha Prakash Dhonde, Rasika Popat Jamdar "Stock Prediction Using Deep Learning Approach" Iconic Research And Engineering Journals, vol. 5, no. 11, May. 2022
Yogita Govardhan Suryavanshi, Megha Prakash Dhonde, Rasika Popat Jamdar (2022). Stock Prediction Using Deep Learning Approach. Iconic Research And Engineering Journals, 5(11).
Yogita Govardhan Suryavanshi, Megha Prakash Dhonde, Rasika Popat Jamdar "Stock Prediction Using Deep Learning Approach" Iconic Research And Engineering Journals, vol. 5, no. 11, May. 2022.
@article{1703432,
author = {Yogita Govardhan Suryavanshi, Megha Prakash Dhonde, Rasika Popat Jamdar},
title = {Stock Prediction Using Deep Learning Approach},
journal = {Iconic Research And Engineering Journals},
year = {2022},
volume = {5},
number = {11},
pages = {93-95},
issn = {2456-8880},
url = {https://www.irejournals.com/formatedpaper/1703432.pdf},
abstract = {I am also using data processing Algorithm and we decide which side has an impact The easiest ending to predict the future.Stock market forecast Trying to determine the long-term value of the company Stocks and other financial products change. In the recent trend of Stock Market Prediction Technologies machine learning has integrated itself in the picture for deployment and prediction of training sets and data models.},
month = {May},
}