forest-fire-commit

[shrek-28]

Pull Request for PyVerse 💡

Requesting to submit a pull request to the PyVerse repository.

---

Issue Title

Please enter the title of the issue related to your pull request.
[Code Addition Request]: Adding Forest Fire Prediction using Regression #1135

• I have provided the issue title.

---

Info about the Related Issue

What's the goal of the project?
Forest Fire Prediction using Different Regression Methods

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

---

Name

Please mention your name.
Shreyasree G

• I have provided my name.

---

GitHub ID

Please mention your GitHub ID.
shrek-28

• I have provided my GitHub ID.

---

Email ID

Please mention your email ID for further communication.
shreyagopal28@gmail.com

• I have provided my email ID.

---

Identify Yourself

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

• I have mentioned my participant role.

---

Closes

Enter the issue number that will be closed through this PR.
*Closes: 1135

• I have provided the issue number.

---

Describe the Add-ons or Changes You've Made

Give a clear description of what you have added or modified.
I have added the data used in my project, along with relevant .ipynb notebooks, for Data preprocessing, EDA and the Various ML Models

• I have described my changes.

---

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.
There was no testing as such, but I have measured the metrics of the different ML models I have used and shown a comparative analysis

• I have described my testing process.

---

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.

[github-actions]

👋 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!