DDoS attacks classification by Machine learning | Dissertation Project | Final year project

Contact Information: LinkedIn: https://www.linkedin.com/in/asimgulkhan/ Fiver: https://www.fiverr.com/s/Q7LbNG2 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. Do you want help with Advanced custom projects? Then follow the links below. Linkedin: https://www.linkedin.com/in/asimgulkhan/?trk=opento_sprofile_details If you like my work, you can support me by buying me a coffee by clicking the link below! 🤩 https://buymeacoffee.com/asimgul Books Suggestions for you 🤩: Malware Analysis: https://amzn.to/48Tpc1w Malware Analysis with ML: https://amzn.to/3V7UJtu Android Malware: https://amzn.to/3V7UJtu Dataset and code Repo link: https://github.com/AsimGull/Data-Science-Projects/tree/main/Machine%20learning/Natural%20language%20processing/DDoS%20Attack%20Classification #MachineLearning #CyberSecurity #DataScience #DDoSAttack #InfoSec #AI #Tech #PythonProgramming #NetworkSecurity #DeepLearning #CyberDefense #MLAlgorithms #ArtificialIntelligence #Code #InternetSecurity #Algorithm # #InfoSecurity #CyberThreats #IT #Programming # #NetworkDefense #SecuritySolutions #DataSecurity #dissertationcoach #FinalYearProject #ThesisWriting #GraduationProject #DissertationJourney #ProjectDefense #GraduateResearch