Implement Gradient Descent Function

[Gdsc-Cummins]

Hacktoberfest Open Source Contribution - Issue Description

Issue: Implement Gradient Descent Function

Description:

We have an exciting opportunity for contributors to implement a gradient descent function as part of our project in the "Level-Medium" folder, specifically within the "Gradient Descent" folder. The distribution code is provided, and your task is to complete the function.

Task:

Your objective is to complete the gradient descent function based on the provided distribution code. This function will play a crucial role in optimizing our project's performance.

Steps to Contribute:

1. Visit the "Level-Medium" folder in our AIML-2023-GDSC-CUMMINS-X-GDSC-MMCOE GitHub repository to access the "Gradient Descent" folder.

2. In the README file located in the "Gradient Descent" folder, you will find detailed instructions and the distribution code for the gradient descent function.

3. Implement the missing parts of the function following the provided guidelines.

4. Create a new branch in your forked repository, make your changes, and submit a Pull Request to the project's repository. Please mention this issue number in your Pull Request title or description.

5. Review of the Pull Requests will be conducted at the end of October.

Reward:

The best solution Pull Request that effectively implements the gradient descent function will be selected and merged into the project at the end of October. Your contribution will significantly impact the project's success.

We appreciate your dedication to improving our project. Thank you for participating in Hacktoberfest with us. Your efforts will benefit the entire community. Happy coding!

[OkenHaha]

Hello, I would like to contribute to this issue, could you please assign it to me?