https://github.com/2000pawan/insurance-frauds-detection

Excited to announce my latest project on LinkedIn! 🚀 Introducing my insurance fraud prediction ML model, deployed on GitHub. Leveraging the robust Random Forest Classifier algorithm, this tech-driven solution achieves an impressive 93,82% accuracy on both training and testing data. Join me in combating fraud with cutting-edge technology!
https://github.com/2000pawan/insurance-frauds-detection

artificial-intelligence jupyter-notebook machine-learning pandas python random-forest-classifier sklearn

Last synced: 9 days ago
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Excited to announce my latest project on LinkedIn! 🚀 Introducing my insurance fraud prediction ML model, deployed on GitHub. Leveraging the robust Random Forest Classifier algorithm, this tech-driven solution achieves an impressive 93,82% accuracy on both training and testing data. Join me in combating fraud with cutting-edge technology!

• Host: GitHub
• URL: https://github.com/2000pawan/insurance-frauds-detection
• Owner: 2000pawan
• Created: 2024-03-15T22:13:59.000Z (10 months ago)
• Default Branch: main
• Last Pushed: 2024-03-15T22:19:13.000Z (10 months ago)
• Last Synced: 2024-03-15T23:28:59.902Z (10 months ago)
• Topics: artificial-intelligence, jupyter-notebook, machine-learning, pandas, python, random-forest-classifier, sklearn
• Language: Jupyter Notebook
• Homepage:
• Size: 165 KB
• Stars: 1
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# Insurance-Frauds-Detection

 

"Excited to announce my latest project on LinkedIn! 🚀 Introducing my insurance fraud prediction ML model, deployed on GitHub. 

Leveraging the robust Random Forest Classifier algorithm, this tech-driven solution achieves an impressive 93,82% accuracy on both training and testing data. 

Join me in combating fraud with cutting-edge technology! 

💻🔍 #MachineLearning #InsuranceFraudDetection #GitHub #RandomForest"