MEDICAL INSURANCE PREMIUM PREDICTION ML MODEL
Python(NumPy, Pandas, Scikit-learn), Machine Learning
- Developed a health insurance premium prediction model using Python, leveraging libraries such as NumPy, Pandas, Matplotlib, Seaborn, and Scikit-learn.
- Conducted extensive data analysis and preprocessing tasks, including handling categorical variables, to ensure data quality and integrity.
- Implemented the Random Forest regression algorithm from Scikit-learn for model training, achieving accurate predictions by considering factors such as age, gender, BMI, smoking status, and region.
- Deployed the trained model for practical use, demonstrating proficiency in utilizing machine learning libraries to address real-world challenges within the health insurance domain.
