Welcome to the Presentable Code repository! This collection showcases a set of elegant scripts that demonstrate my coding skills. The repository is organized into three main folders: MLRelated, AstroRelated, and publishedFigures.

The MLRelated folder contains scripts that are related to machine learning. These scripts demonstrate my proficiency in implementing machine learning algorithms and working with related libraries and frameworks. Each script is self-contained and focuses on a specific machine learning task or technique.

The AstroRelated folder contains scripts that are focused on astrophysical data analysis. These scripts highlight my ability to process and analyze astronomical datasets, as well as my familiarity with relevant astrophysics concepts and techniques. Each script in this folder showcases a specific aspect of astrophysical data analysis.

The publishedFigures folder contains scripts and PDF files of generated figures and plots. These figures have been published or are intended to demonstrate my plotting skills. Each script in this folder showcases different visualization techniques and styles, demonstrating my ability to effectively communicate data through visual representations.

Feel free to explore the repository and dive into the folders that interest you. Each folder contains a variety of scripts that demonstrate different aspects of my coding skills. You can run the scripts in your local environment to see the results or refer to the PDF files in the publishedFigures folder to view the already generated figures.

This repository is intended to showcase my personal coding skills and is not open for contributions. However, if you have any suggestions, feedback, or questions, feel free to reach out to me through the contact information provided in my GitHub profile.

The code in this repository is licensed under the MIT License. Feel free to use, modify, and distribute the code for non-commercial purposes, giving appropriate credit.

Thank you for visiting the Presentable Code repository. I hope you find the scripts and figures inspiring and informative. Happy coding!