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This is Machine learning project which based on various factors like age,gender,bmi etc.. ,predicts the Medical Insurance Cost. The Dataset is taken from Kaggle and then visualized,trained and tested in Jupyter Notebook. Streamlit is used to provide user-interface.

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nobi-nata/Medical-Insurance-Cost-Prediction

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Medical-Insurance-Cost-Prediction-using-ML-and-Streamlit

This is Machine learning project which based on various factors like age,gender,bmi etc.. ,predicts the Medical Insurance Cost.

  1. Python Streamlit framework based website which helps in predicting insurance cost.

  2. Deployed on Streamlit - Cloud based platform. (https://medical-insurance-cost-prediction.streamlit.app/)

  3. Dataset is trained on various regression alogorithms like linear regression, logistic, random forest, gradient boosting, SVM and the best accuracy alogrithms is selected.

If want to run locally

  1. Clone the repo
  2. use streamlit run med.py

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This is Machine learning project which based on various factors like age,gender,bmi etc.. ,predicts the Medical Insurance Cost. The Dataset is taken from Kaggle and then visualized,trained and tested in Jupyter Notebook. Streamlit is used to provide user-interface.

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