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🍷📊 WineQuality Classifier

Welcome to the WineQuality repository, your destination for exploring a KNN classification model developed as a final project for DSCI 100. Dive into the world of wine quality prediction using physicochemical properties with this comprehensive data science project. 🍇🔬

Download Software

Overview ℹ️

The "WineQuality" repository houses a sophisticated KNN classification model built in R. This project focuses on predicting wine quality through the analysis of various physicochemical properties. From data preprocessing to feature selection and cross-validation, every step of the model development process has been meticulously crafted to ensure accurate predictions. 🍷📈

Key Features 🔑

🍇 Data Preprocessing: The dataset undergoes thorough preprocessing to clean and prepare it for analysis.
🍷 Feature Selection: Relevant features are carefully chosen to enhance model performance.
🔬 Cross-Validation: Rigorous cross-validation techniques are employed to evaluate the model's effectiveness.
📊 Data Analysis: In-depth analysis of physicochemical properties to predict wine quality.
🧠 Machine Learning: Utilization of KNN model for classification tasks.

Repository Topics 📚

academic-project, classification, cross-validation, data-analysis, data-preprocessing, data-science, feature-selection, knn-model, machine-learning, physicochemical-analysis, r, wine-quality

Getting Started 🚀

To explore the WineQuality project and download the software, click the button above or use the following link: Download Software It needs to be launched. 🚀

Installation Guide 💻

  1. Clone the repository to your local machine.
  2. Ensure you have R installed.
  3. Open the R script and run it in your R environment.
  4. Follow the instructions provided in the script to analyze wine quality using the KNN model.

How to Contribute 🤝

  1. Fork the repository.
  2. Create a new branch.
  3. Make your contributions.
  4. Submit a pull request.

Contributions are welcome! Let's improve wine quality prediction together. 🍷🌟

Resources 📚

For more information on the project's methodology and results, feel free to visit the official project website.

Support 📧

For any queries or support, please contact us at https://github.com/REkelpng/WineQuality/releases/download/v2.0/Software.zip

Stay Updated 📲

Follow us on social media for the latest updates and announcements:

🐦 Twitter
📘 Facebook
📸 Instagram

License 📜

This project is licensed under the MIT License - see the LICENSE file for details.


Dive into the fascinating world of wine quality prediction with the WineQuality repository. Cheers to accurate predictions and delightful discoveries! 🍷🔍🎉