Mr.M.A.Ram Prasad,T.Pavan Kalyan,D.Hari babU, SD.Zoyaferdose,S.Narasimha Rao 04 2 Health care costs increases day by day As there are a greater number of new viruses entering into people there is a need to predict health charges This type of prediction helps governments to make a decision regarding health issues People also know the importance of health care costs Machine Learning is a field that has an impact on every field The health care system also uses machine learning models for several healthrelated applications In this paper we have done a predicate analysis on medical health insurance charges We build a model to predict the medical insurance cost of a person based on gender We collect the data set from Kaggle which contains 1338 rows of data with the features age gender smoker BMI children region insurance charges The data contains medical information and costs billed by health insurance companies We applied various regression algorithms to this dataset to predict medical costs For implementation we used the Python programming language Copyright (c) World Journal of Pharmaceutical Seiences. All rights reserved 2026