Embark on a journey through MyCodeUniverse, a vibrant constellation of my coding endeavors! From polished applications to experimental sandboxes, each project here tells a part of my story as a developer. Dive into this eclectic mix and explore the realms of creativity and code.
Below is a collection of some small public projects I've worked on. They range from comprehensive, feature-rich applications to smaller, experimental ventures.
This project provides an implementation of various rank fusion algorithms commonly used in information retrieval and recommendation systems. These algorithms combine rankings from multiple sources to generate a unified, more accurate final ranking. This repository features Reciprocal Rank Fusion (RRF), Inverse Square Rank Fusion (ISR), and Relative Distance Fusion (RDF) with both Min-Max and Distribution-Based normalization strategies.
A curated assortment of custom Python utilities and functions, the Yuri-Function Collection is designed for easy integration and use in various projects. It showcases practical and reusable code pieces, ideal for enhancing functionality and efficiency in diverse Python applications.
My first foray into Kaggle competitions, this project utilizes the Ames Housing dataset to predict house prices. It represents a significant step in my data science journey, showcasing my skills in data analysis and machine learning to achieve a decent result.
🧪 More projects will be added here as my universe expands.
💡Feel free to explore these projects and reach out if you have any questions or want to collaborate on something exciting!
Interested in contributing to a project? That's great! Please first read through CONTRIBUTING.md for instructions on how to get started.
This repository is licensed under the MIT License - see the LICENSE.md file for details.