Addressing Social Engineering attacks using machine Learning Algorithms
Exploratory Data Analysis and Feature Assessment
Missing Values Analysis
Total missing values exactly 0 across all features.
Proxy Target Distribution
Distribution mapped using SSLfinal_State (Phishing vs Legitimate proxy).
Feature Correlation Heatmap
Linear relationships between different web features.
Value Distribution
Prevalence of Phishing (-1), Suspicious (0), and Legitimate (1) values.
PCA Projection
2-dimensional projection via PCA identifying natural clustering.
Top Variant Features
Features holding the most informational weight for predictive modeling.
