Repository to store materials for our group project on predicting health insurance charges.
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Updated
Aug 16, 2023 - Jupyter Notebook
Repository to store materials for our group project on predicting health insurance charges.
Successfully developed a machine-learning algorithm that produced 88% accuracy at predicting the yearly cost of insurance. Created a website for user input and on-demand model predicitions.
In this project, I utilize the Insurance US dataset to predict health insurance costs based on various input features, enabling insights into the factors influencing insurance charges.
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