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A RESTful API using Flask and XGBoost to predict diabetes in Pima Indians based on various diagnostic measurements. Includes training, saving the best model, and testing the API using Python requests.

License: MIT License

Python 100.00%
data-science flask health-tech medical-diagnosis pima-indians-dataset predictive-modeling python restful-api xgboost

diabetes-prediction-api's Introduction

๐Ÿ‡ฌ๐Ÿ‡ง English | ๐Ÿ‡น๐Ÿ‡ผ ็น้ซ”ไธญๆ–‡ | ๐Ÿ‡ซ๐Ÿ‡ท Franรงais

Hi ๐Ÿ‘‹, I'm YI HUNG, WONG

An ML/DL engineer from Taiwan.

yihong1120

yihong1120

  • ๐Ÿ”ญ Iโ€™m currently service in MediaTek

  • ๐ŸŒฑ Iโ€™m currently learning Cloud Computation, LLM, Computer Vision

  • ๐Ÿ’ฌ Ask me about Python, Cloud Computing, Tensorflow, Pytorch

  • ๐Ÿ“ซ How to reach me [email protected]

Connect with me:

yi-hung-wong-7b7859a1 ็ฟ้€ธๅฎ yihong1120

Languages and Tools:

azure csharp css3 django docker dotnet flask gcp git html5 linux mssql mysql nginx opencv pandas postman python pytorch qt scikit_learn seaborn swift tensorflow

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