Welcome to the #chydv Hackathon 2025, an exciting opportunity to advance the field of data science! In this competition, hosted by the Technical University of Denmark (DTU), your challenge is to develop a regression model that accurately predicts wine quality based on various properties.

**Objective:** Utilize the provided dataset to create a model that can predict the quality of wine. Your solution will be evaluated using the quadratic weighted kappa metric, which measures the agreement between predicted and actual quality ratings.

**Timeline:** The competition is currently open for submissions and will conclude in one month. Please refer to the [Timeline](https://www.kaggle.com/competitions/chydv-hackathon-2025/overview/timeline) page for specific dates and deadlines.

**Prizes:** While there are no monetary prizes for this competition, top participants will gain recognition within the Kaggle community and have the opportunity to showcase their skills to potential employers and collaborators.

**Data Access and Use:** Participants are granted access to the competition data for non-commercial purposes, including competition participation, academic research, and education. Ensure compliance with the [Competition Rules](https://www.kaggle.com/competitions/chydv-hackathon-2025/rules) regarding data usage.

**Submission Guidelines:** You are allowed up to hundred submissions per day and can select up to two final submissions for evaluation. Teams may consist of up to twenty members, and team mergers are permitted under certain conditions. Detailed submission instructions are available on the [Submission](https://www.kaggle.com/competitions/chydv-hackathon-2025/submissions) page.

We encourage you to participate actively in the [Discussion](https://www.kaggle.com/competitions/chydv-hackathon-2025/discussion) forums to share insights and seek assistance. This is a valuable opportunity to enhance your data science expertise and contribute to the community.

Good luck, and we look forward to seeing your innovative solutions! 