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Problem Statement

The purpose of this data is to look into the different features to observe their relationship, ML model is based on several features of individuals such as age, physical/family condition, and location against their existing medical expense to be used for predicting future medical expenses of individuals that help medical insurance to make a decision on charging the premium.

Data Science Pipelne

  1. Data Ingestion
  2. Data Validation
  3. Model Training
  4. Model Analysis Validation
  5. Model Deployment

Tech Stack Used

  • Python Modular Coding
  • Machine Learning
  • MongoDB Database
  • AWS Cloud
  • Apache
  • Docker
  • Grafana
  • DVC
  • MLFLOW
  • Streamlit

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Insurance Data Science Project

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