https://github.com/sandeeppaldotnet/customerchurnprediction-mlnet-aspnet

This project predicts whether a customer is likely to churn using machine learning in .NET. It includes: - A model training console application using **ML.NET** - An ASP.NET Core 8 Web API for serving predictions
https://github.com/sandeeppaldotnet/customerchurnprediction-mlnet-aspnet

aspnetcore customer-churn-prediction mlnet

Last synced: 25 days ago
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This project predicts whether a customer is likely to churn using machine learning in .NET. It includes: - A model training console application using **ML.NET** - An ASP.NET Core 8 Web API for serving predictions

• Host: GitHub
• URL: https://github.com/sandeeppaldotnet/customerchurnprediction-mlnet-aspnet
• Owner: sandeeppaldotnet
• Created: 2025-08-20T06:26:23.000Z (3 months ago)
• Default Branch: main
• Last Pushed: 2025-08-20T06:31:31.000Z (3 months ago)
• Last Synced: 2025-08-20T08:32:58.169Z (3 months ago)
• Topics: aspnetcore, customer-churn-prediction, mlnet
• Language: C#
• Homepage:
• Size: 107 KB
• Stars: 0
• Watchers: 0
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

          
# 📊 Customer Churn Prediction with ML.NET and ASP.NET Core 8

This project predicts whether a customer is likely to churn using machine learning in .NET. It includes:

- A model training console application using **ML.NET**

- An ASP.NET Core 8 Web API for serving predictions

![Churn Prediction Screenshot](churnprediction.png)

## 🚀 Project Structure

CustomerChurnPrediction-MLNet-ASPNET/

│

├── ChurnPredictionTrainer/ # Console app for model training

│ └── customer_data.csv # Sample training dataset

│ └── churn_model.zip # Trained model (saved after training)

│

├── ChurnPredictionAPI/ # ASP.NET Core 8 Web API

│ └── Controllers/

│ └── Models/

│ └── Services/

│

└── README.md

---

## 🧠 ML Task

- **Type**: Binary Classification

- **Target**: Predict if a customer will **churn** (`true` or `false`)

- **Algorithm**: SDCA Logistic Regression (ML.NET)

---

## 📦 Dataset (CSV)

Example format:

```csv

CustomerId,Tenure,MonthlyCharges,TotalCharges,IsActive,Churned

1,12,29.85,345.12,true,false

2,1,56.95,56.95,false,true

Features Used:

Tenure

MonthlyCharges

TotalCharges

IsActive

Label (Target):

Churned (boolean)

🛠 How to Run

✅ Train the Model

Open ChurnPredictionTrainer in Visual Studio 2022

Build and run the project

The trained model (churn_model.zip) will be saved in the output directory

✅ Use in Web API

Open ChurnPredictionAPI in Visual Studio 2022

Ensure churn_model.zip is placed in the root or loaded from the correct path

Run the API

Use tools like Postman or Swagger to test the /api/churn endpoint

🔍 API Endpoint

POST /api/churn

Request (JSON):

{

  "Tenure": 6,

  "MonthlyCharges": 70.5,

  "TotalCharges": 420.0,

  "IsActive": false

}

Response:

{

  "Churned": true,

  "Probability": 0.89,

  "Score": 2.15

}

🛠 Tech Stack

.NET 8

ML.NET

ASP.NET Core 8 Web API

Visual Studio 2022

📌 Future Improvements

Add support for automatic model retraining

Store predictions in a database

Visualize churn statistics via dashboard

Deploy to Azure or AWS

📄 License

This project is open-source and available under the MIT License

.