In this video, we'll dive into DDoS attack classification using Python, covering key steps from data preprocessing to model training and evaluation.
Table of Contents:
1 - Importing libraries
2 - Data Pre-processing
3 - Data Exploration
4 - Data Splitting
5 - Model Training (Random Forest, Logistic Regression, Neural Network)
6 - Model Evaluation (Accuracy, F1 Score, Recall, Precision, Confusion Matrix)
7 - Model Comparison: Area under the curve (AUC), ROC Curve graph.
Discover how these machine learning algorithms enhance network security and gain insights into effectively identifying and combating DDoS threats.
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