[README Enhacement]: ASELSAN Stock Prices

[nkhanna94]

This commit enhances the README.md file for the ASELSAN Stock Price Prediction Project.

Changes Made:

• Provided a comprehensive overview of the project, including its goal, dataset, project progress, libraries used, key visualizations, and conclusion.
• Structured the README to improve readability and clarity.
• Included direct links to the dataset and author's GitHub profile.
• Ensured consistency in formatting and language throughout the document.

These enhancements aim to provide readers with a clear understanding of the project and its objectives, facilitating easier navigation and comprehension.

Pull Request for ML-Crate 💡

Issue Title: [README Enhacement]: ASELSAN Stock Prices

• Info about the related issue (Aim of the project) : The aim of this project is to develop a machine learning model capable of predicting the stock prices of ASELSAN, a leading defense technology company in Turkey.
• Name: Niharika Khanna
• GitHub ID: nkhanna94
• Identify yourself: Contributor @SSOC-S3

Closes: 597
Updated Issue Number: 604

Describe the add-ons or changes you've made 📃

Give a clear description of what have you added or modifications made
Changes Made:
This pull request updates the README.md file for the ASELSAN Stock Price Prediction Project with detailed information and results.

Changes Made:

• Added a comprehensive goal section outlining the purpose of the project.
• Included a link to the dataset sourced from Kaggle.
• Provided a brief description of the project.
• Documented the step-by-step procedure of the project, including data preprocessing (deleting unnecessary columns and changing data types), visualization, and model development.
• Listed the machine learning models implemented and the rationale for choosing them.
• Detailed the libraries needed for the project.
• Included images of the exploratory data analysis (EDA) results.
• Added performance metrics for each model based on train and test scores.
• Updated the conclusion section to reflect the performance of the models and the final outcome.
• Added a signature section with the author's contact information and social media handles.

These enhancements aim to provide a clear and detailed overview of the project, improving readability and understanding for future contributors and users.

Type of change ☑️

What sort of change have you made:

• 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 it has been tested
Describe how have you verified the changes made

Checklist: ☑️

• 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]

Our team will soon review your PR. Thanks @nkhanna94 :)

[abhisheks008]

https://github.com/abhisheks008/ML-Crate/blob/main/.github/readme_template.md

Please follow the points mentioned in the given template and update your file accordingly.
@nkhanna94

[abhisheks008]

Approved @nkhanna94