PROJECT_INFO.md

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Customer Churn Dataset - Project Information
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Provided by: RSK World
Website: https://rskworld.in/
Email: help@rskworld.in
Phone: +91 93305 39277
Contact Page: https://rskworld.in/contact.php
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# Customer Churn Dataset - Project Information

## Project Details

- **ID:** 1
- **Title:** Customer Churn Dataset
- **Category:** Tabular Data
- **Description:** Comprehensive customer churn dataset with demographic, usage, and billing information for predicting customer retention and churn analysis.
- **Full Description:** This dataset contains customer information including demographics, account details, usage patterns, billing history, and churn status. Perfect for building classification models to predict customer churn, analyzing retention factors, and understanding customer behavior patterns.
- **Technologies:** CSV, Excel, Pandas, NumPy
- **Difficulty:** Beginner
- **Source Link:** ./customer-churn/customer-churn.zip
- **Demo Link:** ./customer-churn/
- **Icon:** fas fa-table
- **Icon Color:** text-warning
- **Project Image:** ./customer-churn/customer-churn.png
- **Project Image Alt:** Customer Churn Dataset - rskworld.in

## Features

- Demographic and account information
- Usage patterns and billing data
- Churn labels and timestamps
- Multiple feature categories
- Ready for ML model training

## Contact Information

**Provided by RSK World**

- 🌐 **Website:** [https://rskworld.in/](https://rskworld.in/)
- 📧 **Email:** [help@rskworld.in](mailto:help@rskworld.in)
- 📱 **Phone:** [+91 93305 39277](tel:+919330539277)
- 📞 **Contact Page:** [https://rskworld.in/contact.php](https://rskworld.in/contact.php)

## Project Structure

```
customer-churn/
├── data/
│ └── customer_churn.csv # Main dataset
├── scripts/
│ ├── __init__.py
│ ├── generate_dataset.py # Dataset generator
│ ├── data_exploration.py # Data exploration
│ ├── data_preprocessing.py # Data preprocessing
│ └── model_training.py # Model training
├── notebooks/
│ └── analysis.ipynb # Jupyter notebook for analysis
├── output/ # Generated outputs (visualizations, models)
├── index.html # Demo page
├── README.md # Main documentation
├── CONTRIBUTING.md # Contributing guidelines
├── SETUP.md # Setup instructions
├── LICENSE # License information
├── requirements.txt # Python dependencies
├── PROJECT_INFO.md # This file
├── customer-churn.zip # Compressed dataset (to be created)
└── customer-churn.png # Project image (to be created)
```

## Usage

1. Install dependencies: `pip install -r requirements.txt`
2. Generate dataset (if needed): `python scripts/generate_dataset.py`
3. Explore data: `python scripts/data_exploration.py`
4. Preprocess data: `python scripts/data_preprocessing.py`
5. Train models: `python scripts/model_training.py`
6. Use Jupyter notebook: `jupyter notebook notebooks/analysis.ipynb`

## Use Cases

- Churn prediction models
- Customer segmentation
- Retention analysis
- Behavior pattern analysis
- ML classification training

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**All files in this project include contact information from RSK World in their headers/comments.**