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stock price prediction #558

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@Shaistaattar42 Shaistaattar42 commented Oct 13, 2024

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 regreassion

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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

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Name

Please mention your name.
Shaista Attar

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GitHub ID

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Shaistaattar42

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Email ID

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[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

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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.
Describe your changes here.

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Type of Change

Select the type of change:

  • Bug fix (non-breaking change which fixes an issue)
  • New feature (non-breaking change which adds functionality)
  • 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..

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Checklist

Please confirm the following:

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

using linear regression
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@github-actions github-actions bot requested a review from UTSAVS26 October 13, 2024 13:46
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@Shaistaattar42 this PR will not be merged, you didn't fill every detail that was asked.

@UTSAVS26 UTSAVS26 closed this Oct 14, 2024
@Shaistaattar42 Shaistaattar42 mentioned this pull request Oct 14, 2024
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2 participants