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Intermediate
Fraudulent Transaction Detection using Random Forest
Fraudulent Transaction Detection using Random Forest — built for academic submission
A machine learning project implementing fraudulent transaction detection using random forest, from data cleaning and model training through to an interactive prediction app.
What's included
- Report and viva preparation notes
- Data cleaning and exploratory analysis notebook
- Trained and evaluated ML model(s)
- Interactive dashboard/app for predictions
- Model comparison and evaluation metrics
Tech stack
PythonPandasScikit-learnStreamlit/Flask
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