Скачать или смотреть Customer Churn Prediction | ANN | Deep Learning Project | Ankit Parwatkar | Data Science | AIML

📊 Customer Churn Prediction Dashboard
Predict customer attrition risk with AI-powered insights

App Live On Streamlit: - https://customer-churn-prediction-ank...

A Streamlit-powered interactive dashboard that predicts customer churn probability using a deep neural network (TensorFlow). Designed for businesses to proactively retain at-risk customers by analyzing key behavioral and demographic factors.

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✨ Key Features
✅ Real-time predictions: Input customer details and instantly get churn risk scores.
✅ Visual analytics: Interactive feature importance charts and probability breakdowns.
✅ User-friendly UI: Sleek dashboard with intuitive sliders and dynamic results.
✅ Model explainability: Understand which factors drive churn decisions.
✅ Deployment-ready: Fully containerized and scalable for business use.

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🛠️ Technical Stack
Backend: TensorFlow/Keras (ANN Model)
Frontend: Streamlit (Interactive UI)
Data Processing: Scikit-learn (Scalers), Pandas, NumPy
Visualization: Matplotlib, Seaborn

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🚀 Quick Start
1. Clone the repo:
```bash
git clone https://github.com/ankitparwatkar/Cus...
cd Customer-Churn-Prediction
```

2. Install dependencies:
```bash
pip install -r requirements.txt
```

3. Run the app:
```bash
streamlit run app.py
```

4. Access the dashboard:
Open `http://localhost:8501` in your browser.

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📈 Sample Output
Dashboard Preview: - (https://github.com/ankitparwatkar/Cus...)

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📂 File Structure
```
.
├── app.py # Streamlit application code
├── requirements.txt # Dependencies
├── churn_model.h5 # Pretrained TensorFlow model
├── scaler.pkl # Scikit-learn scaler
└── README.md # You are here!
```

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📊 Model Performance
Accuracy: 86% (on test set)
Precision/Recall: Optimized for high-risk customer detection

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📬 Contact
For questions or collaborations, reach out:
📧 Email: [email protected]
🔗 LinkedIn:   / ankitparwatkar  
🐙 GitHub: https://github.com/ankitparwatkar
🐦 Twitter/X:   / ankitparwatkar  
📊 Kaggle: https://kaggle.com/ankitparwatkar
✍️ Medium:   / ankitparwatkar35  

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