Task 1: Supervised Classification - Customer Churn Prediction
readme_content = """
Author: Ved Amte
Date: June 2026
Task Number: 1 of 4 (Required: Complete 3 of 4 tasks)
Build and evaluate a supervised classification model to predict customer churn. Compare at least two algorithms and report evaluation metrics.
Python 3.8 or higher
# Create virtual environment
python -m venv alfido_ai_env
# Activate virtual environment
# On Windows:
alfido_ai_env\\Scripts\\activate
# On macOS/Linux:
source alfido_ai_env/bin/activate
# Install required packages
pip install pandas==2.0.3
pip install numpy==1.24.3
pip install scikit-learn==1.3.0
pip install matplotlib==3.7.2
pip install seaborn==0.12.2- Python: 3.10.11
- pandas: 2.0.3
- numpy: 1.24.3
- scikit-learn: 1.3.0
- matplotlib: 3.7.2
- seaborn: 0.12.2
