{"id":13942107,"url":"https://github.com/sharmaroshan/Insurance-Claim-Prediction","last_synced_at":"2025-07-20T05:32:06.847Z","repository":{"id":202013249,"uuid":"178638728","full_name":"sharmaroshan/Insurance-Claim-Prediction","owner":"sharmaroshan","description":"In this Data set we are Predicting the Insurance Claim by each user, Machine Learning algorithms for Regression analysis are used and Data Visualization are also performed to support Analysis.","archived":false,"fork":false,"pushed_at":"2019-04-20T13:04:41.000Z","size":580,"stargazers_count":37,"open_issues_count":0,"forks_count":42,"subscribers_count":4,"default_branch":"master","last_synced_at":"2024-11-27T11:38:48.484Z","etag":null,"topics":["beginner","classification","data-analysis","data-visualization","eda","evaluation-metrics","finance","machine-learning","radar-chart"],"latest_commit_sha":null,"homepage":null,"language":"Jupyter 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Notebook","funding_links":[],"categories":["Jupyter Notebook"],"sub_categories":[],"readme":"# Insurance-Claim-Prediction\nIn this Data set we are Predicting the Insurance Claim by each user, Machine Learning algorithms for Regression analysis are used and Data Visualization are also performed to support Analysis.\n\n# Content\nThis is \"Sample Insurance Claim Prediction Dataset\" which based on \"[Medical Cost Personal Datasets][1]\" to update sample value on top.\n\n# age : \n    age of policyholder \n# sex: \n    gender of policy holder (female=0, male=1)\n# bmi: \n    Body mass index, providing an understanding of body, weights that are relatively high or low relative to height, objective index of        body weight (kg / m ^ 2) using the ratio of height to weight, ideally 18.5 to 25 \n# steps: \n    average walking steps per day of policyholder \n# children: \n    number of children / dependents of policyholder \n# smoker:  \n    smoking state of policyholder (non-smoke=0;smoker=1)\n# region: \n    the residential area of policyholder in the US (northeast=0, northwest=1, southeast=2, southwest=3) \n# charges: \n    individual medical costs billed by health insurance\n# insuranceclaim: \n    yes=1, no=0\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fsharmaroshan%2FInsurance-Claim-Prediction","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fsharmaroshan%2FInsurance-Claim-Prediction","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fsharmaroshan%2FInsurance-Claim-Prediction/lists"}