https://github.com/batthulavinay/prediction-of-wine-type
https://github.com/batthulavinay/prediction-of-wine-type
Last synced: 3 months ago
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- Host: GitHub
- URL: https://github.com/batthulavinay/prediction-of-wine-type
- Owner: BatthulaVinay
- Created: 2025-03-22T19:42:32.000Z (3 months ago)
- Default Branch: main
- Last Pushed: 2025-03-22T19:45:21.000Z (3 months ago)
- Last Synced: 2025-03-22T20:27:54.473Z (3 months ago)
- Language: Jupyter Notebook
- Size: 0 Bytes
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: README.md
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README
# Prediction-of-Wine-Type
# Prediction of Wine Type using Deep Learning
This project uses deep learning to classify different types of wine based on their characteristics. The model is trained on a dataset containing various wine attributes and predicts the type of wine.
## 📌 Features
- Implements a deep learning model for wine classification
- Uses Python and TensorFlow/Keras for training
- Supports dataset preprocessing and model evaluation
- Provides visualization of results
## 🛠️ Installation
### 1️⃣ Clone the Repository
### 2️⃣ Install Dependencies
Make sure you have Python installed. You can install the required dependencies using:
(*If `requirements.txt` is missing, install the libraries manually as listed in the Jupyter Notebook.*)
## 📂 Dataset
Ensure you have the dataset in the correct location. If it is a public dataset, download it from the appropriate source.
## 🚀 Usage
1. Open the Jupyter Notebook:
2. Run `Prediction of Wine type using Deep Learning.ipynb`.
3. Follow the steps in the notebook to preprocess data, train the model, and evaluate performance.
## 📊 Model Performance
- The model is evaluated based on accuracy and loss metrics.
- Visualization of training and validation performance is included.
## ⚡ Contributing
If you’d like to contribute, feel free to fork the repository and submit a pull request.
## 📜 License
This project is open-source and available under the MIT License.