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README.md

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# Wine_Quality_Analysis
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# Wine Quality Analysis
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## ** Project Overview**
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This project analyzes **wine quality** using **machine learning**. It trains a model on the **Wine Quality Dataset** and evaluates it using **Mean Squared Error (MSE) and R² score**.
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It provides two ways to run the analysis:
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1. **Using Docker**
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2. **Using a Shell Script**
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---
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## **🚀 Running the Project**
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You can run the project using **Docker** or **a Shell Script (without Docker).**
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### **🔹 Option 1: Using Docker**
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1️⃣ **Clone the repository**:
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```sh
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git clone https://github.com/Tani303/Wine_Quality_Analysis.git
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cd Wine_Quality_Analysis
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---
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- **Build Docker Image**
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```sh
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docker build -t wine_quality_analysis_app .
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---
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**Run the Docker Image**
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docker run --rm wine_quality_analysis_app
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## **📂 Dataset**
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- The dataset used is `winequality-red.csv`, available in the **`data/`** folder.
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- **Source**: [UCI Machine Learning Repository](https://archive.ics.uci.edu/ml/datasets/Wine+Quality).
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