This are my project based learning with Anti Fraud's Model implementation and Sentiment analysis based on headline's news with correlation in banks and economic's news.
-
Updated
Aug 5, 2025 - TypeScript
#
bank-scam
Here are 4 public repositories matching this topic...
Detecting Fraud Transactions using the Credit Card Fraud Detection dataset
machine-learning random-forest numpy scikit-learn credit-card pandas seaborn feature-selection xgboost classification logistic-regression matplotlib support-vector-machines imbalanced-data fraud-detection sgd-classifier credit-card-fraud-detection ridge-classifier bank-scam
-
Updated
Jul 4, 2025 - Jupyter Notebook
Scotiabank x UofT Competition. Building an AI model using 6.1k+ real transaction data. Mock data has been added for this repo.
-
Updated
Apr 23, 2026 - Jupyter Notebook
Improve this page
Add a description, image, and links to the bank-scam topic page so that developers can more easily learn about it.
Add this topic to your repo
To associate your repository with the bank-scam topic, visit your repo's landing page and select "manage topics."