Anti Scam Website Detection 🤖
- Designed a supervised learning model for fraudulent website detection, using tree based feature selection and the random forest algorithm for training
- Utilized Python and relevant libraries (e.g., scikit-learn, pandas, numpy) to build and train the Random Forest model.
- Improved algorithm by testing feature selection techniques and reduced underfitting, leading to over 40% increase in accuracy