Skip to content

Kumpatlapavankumar/Medical-Insurance-Cost-Estimation-Using-Machine-Learning

BranchesTags

About

A machine learning project to predict medical insurance charges based on user features like age, BMI, and smoking status. Used Gradient Boosting Regressor for accurate cost prediction. Streamlit app enables real-time, interactive user input and predictions. Built with Python, Pandas, scikit-learn, and joblib.

Topics

python data-science machine-learning random-forest numpy linear-regression exploratory-data-analysis prediction pandas data-visualization matplotlib preprocessing decision-trees gradient-boosting-classifier label-encoding xgboost-regression accuracy-score train-test-split model-selection-and-evaluation
Activity

Stars

0 stars

Watchers

0 watching

Forks

0 forks
Report repository

Releases

No releases published

Packages

 
 
 

Contributors

Languages