Health Premium Info-box

• Project URL: Link
• Tech Stack: VSCode, Python, Jupyter Notebook, Machine learning, HTML, CSS, Cloud

The Health Premium Analysis Project utilizes engineered CI/CD pipelines, enabling seamless automation of build, test, and deployment processes. Employing a tech stack comprising Vscode, Python, HTML, CSS, and Cloud Technologies, a locally hosted website emulates real-world environments for model evaluation. Analyzing health insurance data reveals rapid charge variations, influenced by factors and outliers. Males show higher insurance uptake, predominantly in the age group of 15-20. Strong correlations emerge between BMI and costs, aligning with higher charges for smokers. A modular coding system facilitates a comprehensive ML-based project with a user-friendly website for Health Premium Analysis.

Key Features -

• Engineered CI/CD Pipelines Enabling Seamless Automation of Build, Test, and Deployment.
• Established a Locally Hosted Website Emulating Real-World Environments to Evaluate Models on Data.
• Leveraged Tech Stack comprising Vscode, Python, HTML, CSS, and Cloud Technologies for High-Performance