https://github.com/gandhasiri-rahul-mohan/random-forests-q1-fraud_check

Use Random Forest to prepare a model on fraud data treating those who have taxable_income <= 30000 as "Risky" and others are "Good"
https://github.com/gandhasiri-rahul-mohan/random-forests-q1-fraud_check

data-science machine-learning numpy pandas python random-forest

Last synced: about 1 month ago
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Use Random Forest to prepare a model on fraud data treating those who have taxable_income <= 30000 as "Risky" and others are "Good"

• Host: GitHub
• URL: https://github.com/gandhasiri-rahul-mohan/random-forests-q1-fraud_check
• Owner: Gandhasiri-Rahul-Mohan
• Created: 2023-01-03T16:42:35.000Z (almost 2 years ago)
• Default Branch: main
• Last Pushed: 2023-01-03T16:43:02.000Z (almost 2 years ago)
• Last Synced: 2023-08-16T19:50:55.825Z (over 1 year ago)
• Topics: data-science, machine-learning, numpy, pandas, python, random-forest
• Language: Python
• Homepage:
• Size: 9.77 KB
• Stars: 2
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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# Random-Forests-Q1-Fraud_Check

Use Random Forest to prepare a model on fraud data  treating those who have taxable_income <= 30000 as "Risky" and others are "Good"