https://github.com/krisharul26/insurance_fraud_detection-using-ml

SVM, XGboosting and Logistic regression have used for Insurance fraud detection. With feature engineering as well as feature selection and hyperparameter tuning
https://github.com/krisharul26/insurance_fraud_detection-using-ml

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SVM, XGboosting and Logistic regression have used for Insurance fraud detection. With feature engineering as well as feature selection and hyperparameter tuning

• Host: GitHub
• URL: https://github.com/krisharul26/insurance_fraud_detection-using-ml
• Owner: KrishArul26
• Created: 2021-05-13T21:45:44.000Z (over 4 years ago)
• Default Branch: main
• Last Pushed: 2021-05-13T21:50:41.000Z (over 4 years ago)
• Last Synced: 2025-02-23T08:30:46.018Z (7 months ago)
• Language: Jupyter Notebook
• Size: 364 KB
• Stars: 1
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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# Insurance_Fraued_detection-Using-ML

SVM, XGboosting and Logistic regression have used for  Insurance fraud detection. With feature engineering as well as feature selection and hyperparameter tuning