PyVerse Stock Price Prediction

using linear regression

Pull Request for PyVerse 💡

Requesting to submit a pull request to the PyVerse repository.

Issue Title

predicting the future stock price based on the historical data using linear regression

[x] I have provided the issue title.

Info about the Related Issue

What's the goal of the project? --> the goal of the project is to reduce the risk in the loss in stock market

Describe the aim of the project. --> predicting the future prices helps in investing thoughtfully

[x] I have described the aim of the project.

Name

Please mention your name.
Shaista Attar

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GitHub ID

Please mention your GitHub ID.
Shaistaattar42

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Email ID

Please mention your email ID for further communication.
[email protected]

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Identify Yourself

Mention in which program you are contributing (e.g., WoB, GSSOC, SSOC, SWOC).
I am contributing in GSSOC program

[x] I have mentioned my participant role.

Closes

Enter the issue number that will be closed through this PR.
Closes: #558

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Describe the Add-ons or Changes You've Made

Give a clear description of what you have added or modified.
*This is the very simple program which required linear regression for funtionality. Compared to other stock price predictors this requires very simple coding *

[x] I have described my changes.

Type of Change

Select the type of change:

[ ] Bug fix (non-breaking change which fixes an issue)
[x] New feature (non-breaking change which adds functionality)
[x] Code style update (formatting, local variables)
[ ] Breaking change (fix or feature that would cause existing functionality to not work as expected)
[ ] This change requires a documentation update

How Has This Been Tested?

Describe how your changes have been tested.
--> Data Integrity Checks: Ensured that the dataset was correctly loaded, with no missing values in essential columns such as Date, Open, High, Low, Close, and Volume. --> Feature Selection Validation: Verified that the selected features (Open, High, Low, Close, Volume) had the appropriate data types and ranges. -->Target Variable Check: Confirmed that the target variable (Target column) was correctly shifted to represent the next day's closing price, ensuring alignment between the features and labels..

[x] I have described my testing process.

Checklist

Please confirm the following:

[x] My code follows the guidelines of this project.
[x] I have performed a self-review of my own code.
[x] I have commented my code, particularly wherever it was hard to understand.
[x] I have made corresponding changes to the documentation.
[x] My changes generate no new warnings.
[x] I have added things that prove my fix is effective or that my feature works.
[x] Any dependent changes have been merged and published in downstream modules.

Oct 14 '24 03:10 Shaistaattar42

👋 Thank you for opening this pull request! We're excited to review your contribution. Please give us a moment, and we'll get back to you shortly!

Feel free to join our community on Discord to discuss more!

Oct 14 '24 03:10 github-actions[bot]

@Shaistaattar42 where is the issue number?

Oct 14 '24 09:10 UTSAVS26

@Shaistaattar42 where is the issue number?

added

Oct 15 '24 06:10 Shaistaattar42

@Shaistaattar42 where is the issue number?

added

Sorry it will not going to be merged, as you need to make issue first then if we assign it to you then make PR.

Oct 16 '24 02:10 UTSAVS26