PhotoFolio Bootstrap Template

Applied Machine Learning to detect and distinguish phishing sites from genuine websites.
Compared the performance of Decision Tree, K-Nearest-Neighbor, Support-Machine-Vector, Logistic Regression, Random Forest, Adaboost, and Gradient Boost models on the dataset and obtained an accuracy of 97% with the voting classifier