文件列表:

func.py (63, 2022-08-22)
medical_cost_analysis.ipynb (383283, 2022-08-22)
requirements.txt (133, 2022-08-22)

# Medical Cost Analysis It is a machine learning model for estimating expenditures in the field of health. This study was conducted as part of Global AI Hub's AI Summer Camp'22. ## Model and Data - Data: [Kaggle Dataset](https://www.kaggle.com/datasets/mirichoi0218/insurance). - [Regression Method: Random Forest Regressor](https://scikit-learn.org/stable/modules/generated/sklearn.ensemble.RandomForestRegressor.html) ## Files - medical_cost_analysis.ipynb is a interative notebook that contain codes in. - funcy.py is a functions files used in medical_cost_analysis.ipynb. ## Library - python=3.8 - matplotlib - scikit-learn - seaborn - pandas - numpy You can find all the library in the requirements.txt ## Author - [Abdülaziz Can](https://github.com/abdulazizcan) - [mer Yldrm](https://github.com/omer-yildirim) - [Tunahan Demirkol](https://github.com/TunahanDemirkol) - [eymanur Yaa](https://github.com/seymanuryasa) - [Ata Berk Frat](https://github.com/ataberk771) ## License [MIT](https://opensource.org/licenses/MIT)

近期下载者：

相关文件：

评论：[我要评论] [举报此文件]

收藏者：