Capstone Project 1 | Division of Data Science | University of Texas at Arlington

Machine learning utilizing key health indicators for infant mortality rate prediction.

References
Kaggle. Health Analytics. India. Annual Health Survey (AHS)
https://www.kaggle.com/datasets/rajanand/key-indicators-of-annual-health-survey

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Capstone Project 1 Structure

.
├── assets
├── models
├── notebooks
├── submissions
├── .gitattributes
├── .gitignore
├── CITATION.cff
├── LICENSE
├── README.md
├── __init__.py
├── pyproject.toml
└── requirements.txt

4 directories, 8 files

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Getting Started

Clone the GitHub repository and generate a Python virtual environment. Install required software dependencies. Runs in Jupyter Notebook, Jupyter Lab, and Bash command-line environments.

# Clone repository
git clone https://github.com/rcghpge/capstoneproject.git
cd capstoneproject

# Generate pip venv 
python -m venv venv

# Activate venv
source venv/bin/activate

# Install dependencies 
pip install -e .[dev]

# Environment Checks
python -c "from models import *; print('✅ Model import dependencies OK')"
bandit -r models/
bandit -r models/ -f json -o security-report.json # secure report summary
pip-audit -r requirements.txt
pip check
pytest --cov=models/ --cov-report=term-missing

# Run Python models and Launch Jupyter for EDA 
jupyter lab notebooks/ # run in a web browser environment
jupyter lab notebooks/ --no-browser # intiliaze Jupyter server with no web browser
jupyter lab/models/
jupyter lab/models/ --no-browser

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License: MIT

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