Phishing Detection with Classification
Arsenii Drobotenko
Python
5 Chapters
0 Studying now
Build a zero-day phishing detection engine using structural heuristics and gradient boosting, following strict constraints: no functions, strictly linear code, and a single data load. Analyze, visualize, and classify phishing URLs using Python, pandas, seaborn, matplotlib, and scikit-learn.
コースの説明
Build a zero-day phishing detection engine using structural heuristics and gradient boosting, following strict constraints: no functions, strictly linear code, and a single data load. Analyze, visualize, and classify phishing URLs using Python, pandas, seaborn, matplotlib, and scikit-learn.
技術
Python
言語
En
評価
章
5
Data Ingestion
Exploratory Data Analysis
Feature Engineering
Gradient Boosting Model
Evaluation & Interpretation
0%
Data Ingestion
Exploratory Data Analysis
Feature Engineering
Gradient Boosting Model
Evaluation & Interpretation
