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Project #19
Medical insurance cost prediction
Medical insurance cost prediction is a technique that uses machine learning to predict the cost of medical insurance for an individual based on various factors such
Technologies Used
The objective of this case study is to predict the health insurance cost incurred by Individuals based on their age, gender, Body Mass Index (BMI), number of children, smoking habits, and geo-location. The dataset used in this project is the Medical Cost Personal Dataset from Kaggle.
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