A Linear Regression Model Used to Analysis the Tesla Stock Price Prediction Using Machine Learning

Year : 2024 | Volume :11 | Issue : 02 | Page : –
By

R. Santhosh Kumar

Somorjit Laishram

Sriram B.

Pushpa R.

Jeevitha K.

Priyadarshani P.

  1. PG student Department of Artificial Intelligence and Data Science, Sri Manakula Vinayagar Engineering College, Madagadipet Puducherry India
  2. PG student Department of Artificial Intelligence and Data Science, Sri Manakula Vinayagar Engineering College, Madagadipet Puducherry India
  3. PG student Department of Artificial Intelligence and Data Science, Sri Manakula Vinayagar Engineering College, Madagadipet Puducherry India
  4. PG student Department of Artificial Intelligence and Data Science, Sri Manakula Vinayagar Engineering College, Madagadipet Puducherry India
  5. PG student Department of Artificial Intelligence and Data Science, Sri Manakula Vinayagar Engineering College, Madagadipet Puducherry India
  6. PG student Department of Artificial Intelligence and Data Science, Sri Manakula Vinayagar Engineering College, Madagadipet Puducherry India

Abstract

The stock market is a fascinating sector of the economy. It comes in a number of varieties. several specialists have been examining and investigating the several patterns that the stock market experiences fluctuations. Predicting the stock values of different companies using historical data has been one of the primary research. Stock price prediction can help people a great deal by helping them understand where and how to invest, which will lower their risk of losing money. Companies can also use this program to determine how much to aim for and how many shares to distribute during their Initial Public Offering (IPO) There have been a lot of noteworthy advancements in this sector thus far. Deep learning and machine learning are being investigated by numerous researchers as potential methods to predict values of stocks. Two methods are used by the suggested system to function: regression and classification. The method is used in classification to predict whether the closing stock price will increase or decrease the following day and in regression analysis to predict the closing stock price of a company.

Keywords: Stock prices, stock market, machine learning, linear regression, trading, classification

[This article belongs to Journal of Advanced Database Management & Systems(joadms)]

How to cite this article: R. Santhosh Kumar, Somorjit Laishram, Sriram B., Pushpa R., Jeevitha K., Priyadarshani P.. A Linear Regression Model Used to Analysis the Tesla Stock Price Prediction Using Machine Learning. Journal of Advanced Database Management & Systems. 2024; 11(02):-.
How to cite this URL: R. Santhosh Kumar, Somorjit Laishram, Sriram B., Pushpa R., Jeevitha K., Priyadarshani P.. A Linear Regression Model Used to Analysis the Tesla Stock Price Prediction Using Machine Learning. Journal of Advanced Database Management & Systems. 2024; 11(02):-. Available from: https://journals.stmjournals.com/joadms/article=2024/view=152445

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Regular Issue Subscription Review Article
Volume 11
Issue 02
Received February 16, 2024
Accepted May 17, 2024
Published June 29, 2024
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