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2024 | OriginalPaper | Chapter

Where You Think Stock Takes with the Linear Regression Model

Authors : Bharat S. Rawal, William Sharpe, Elizabeth Moseng, Andre Galustian

Published in: Advanced Computing

Publisher: Springer Nature Switzerland

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Abstract

This paper seeks to analyze and predict the course of Mastercard stock using three different Python libraries: SciKit Learn, XGBoost, and TensorFlow. This paper details information regarding machine learning algorithms and the linear regression model in particular. The paper presents the results of looking through the data and comparing some companies’ results with one another. Our study showed that leaner regression results with Scikit, XGBoost and TensorFlow library provide very high accuracy. The confident prediction for lower values, not to say the small increase in deviation for higher values was any worse.

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Author, Mastercard Data Set with Day Columns 2006 to 2010, Kaggle, 29 January 2023. https://www.kaggle.com/datasets/rashmithreddy/mastercard-data-set-with-day-columns-2006-to-2010. Accessed 29 Jan 2023

Kohli, N.: Stock prediction using linear regression - starter, Kaggle, 20 August 2020. https://www.kaggle.com/code/nikhilkohli/stock-prediction-using-linear-regression-starter. Accessed 29 Jan 2023

“MasterCard Stock Price Today: NYSE Ma Live Ticker,” Investing.com, 23 April 2023. https://www.investing.com/equities/mastercard-cl-a. Accessed 23 Apr 2023

James, G., Witten, D., Hastie, T., Tibshirani, R., Taylor, J.: Linear regression. In: An Introduction to Statistical Learning, pp. 69–134. LNCS, Springer Texts in Statistics. Springer, Cham (2023). https://doi.org/10.1007/978-3-031-38747-0_3

Rahman, K.: Facebook stock data - live and latest. Kaggle, 14 April 2023. https://www.kaggle.com/datasets/kalilurrahman/facebook-stock-data-live-and-latest. Accessed February 2023

What is machine learning? IBM. (n.d.). https://www.ibm.com/topics/machine-learning. Accessed February 2023

Li, J.: Research on market stock index prediction based on network security and deep learning. Secur. Commun. Netw. 2021, 1–8 (2021)

Soni, P., Tewari, Y., & Krishnan, D.: Machine learning approaches in stock price prediction: a systematic review. J. Phys. Conf. Ser. 2161(1), 012065. IOP Publishing (2022)

https://machinelearningmastery.com/linear-regression-for-machine-learning/

10.

https://stanford.edu/~shervine/teaching/cs-230/cheatsheet-recurrent-neural-networks

11.

Yu, Z., Wang, K., Wan, Z., Xie, S., Lv, Z.: Popular deep learning algorithms for disease prediction: a review. Clust. Comput. 26(2), 1231–1251 (2023)CrossRef

12.

Warren, S.L., Moustafa, A.A.: Functional magnetic resonance imaging, deep learning, and Alzheimer’s disease: a systematic review. J. Neuroimaging 33(1), 5–18 (2023)CrossRef

13.

Wang, T., Li, H., Noori, M., Ghiasi, R., Kuok, S.C., Altabey, W.A.: Seismic response prediction of structures based on Runge-Kutta recurrent neural network with prior knowledge. Eng. Struct. 279, 115576 (2023). prediction-6c1994da8001

14.

Eltouny, K.A., Xiao, L.: Large‐scale structural health monitoring using composite recurrent neural networks and grid environments. Comput.‐Aided Civ. Infrastruct. Eng. 38(3), 271–287 (2023). Machine Learning Techniques Applied to Stock Price Prediction, https://towardsdatascience.com/machine-learning-techniques-applied-to-stock-price

15.

Hallez, Q., Mermillod, M., Droit-Volet, S.: Cognitive and plastic recurrent neural network clock model for the judgment of time and its variations. Sci. Rep. 13(1), 3852 (2023)CrossRef

16.

Lazcano, A., Herrera, P.J., Monge, M.: A combined model based on recurrent neural networks and graph convolutional networks for financial time series forecasting. Mathematics 11(1), 224 (2023)

17.

Almosova, A., Andresen, N.: Nonlinear inflation forecasting with recurrent neural networks. J. Forecast. 42(2), 240–259 (2023)MathSciNetCrossRef

18.

Kim, Y.D., Durlofsky, L.J.: Convolutional–recurrent neural network proxy for robust optimization and closed-loop reservoir management. Comput. Geosci. 27(2), 179–202 (2023)

19.

Structural Health Monitoring with bolt load cells | BoltSafe. https://boltsafe.com/structural-health-monitoring/

20.

Eltouny, K.A., Liang, X.: Large-scale structural health monitoring using composite recurrent neural networks and grid environments. Comput. Aided Civ. Infrastruct. Eng. 38(3), 271–287 (2023)CrossRef

Title: Where You Think Stock Takes with the Linear Regression Model
Authors: Bharat S. Rawal
William Sharpe
Elizabeth Moseng
Andre Galustian
Publisher: Springer Nature Switzerland
Book: Advanced Computing
Print ISBN: 978-3-031-56699-8

Electronic ISBN: 978-3-031-56700-1

Copyright Year: 2024
DOI: https://doi.org/10.1007/978-3-031-56700-1_20

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