Youssef-AK

Helper-V

VirusTotal API3

IDS-BestAlg

The IDS-BestAlg project aims to develop a robust and efficient Intrusion Detection System (IDS) by implementing and comparing seven different machine learning and deep learning algorithms.

LSTM_AnomalyDetection

Perform forecasting on time series data by using artificial neural networks. In particular, long short-term memory (LSTM)

Malware-Data-Science

Code of Book (Malware Data Science)

NSL-KDDCup99

Work with NSL-KDD to reach best accuracy

SpamClassifierTREC07

Build Naive Bayes Multinomial Spam Classifier with TREC 2007

Youssef-AK/NSL-KDDCup99

Work with NSL-KDD to reach best accuracy

Youssef-AK/Helper-V

VirusTotal API3

Youssef-AK/IDS-BestAlg

The IDS-BestAlg project aims to develop a robust and efficient Intrusion Detection System (IDS) by implementing and comparing seven different machine learning and deep learning algorithms.

Youssef-AK/LSTM_AnomalyDetection

Perform forecasting on time series data by using artificial neural networks. In particular, long short-term memory (LSTM)

Youssef-AK/Malware-Data-Science

Code of Book (Malware Data Science)

Youssef-AK/SpamClassifierTREC07

Build Naive Bayes Multinomial Spam Classifier with TREC 2007

Youssef-AK/-Applied-Data-Science-Capstone-project

Youssef-AK/-FBI-Gun-Dataset

Youssef-AK/Analyze-A-B-Test

Youssef-AK/AnomalyDetection-Intel-

Youssef-AK/azure-docs

Open source documentation of Microsoft Azure

Youssef-AK/CyberSec-DataSci

The best hackers and security experts are using machine learning to break and secure systems.

Youssef-AK/DefeatedURansom

DefeatedURansom is an innovative cybersecurity solution designed to tackle the dynamic challenges posed by ransomware threats in today's digital ecosystem.

Youssef-AK/DefeatedURansom_V0

Our mission is to develop and implement an advanced cybersecurity system, a shield against ransomware threats. Using cutting-edge Threat Attribution techniques powered by AI and machine learning, we aim to trace ransomware origins and tactics.

Youssef-AK/Feature-Engineering

Feature engineering is the process of using domain knowledge and insight into data to define features that enable machine learning algorithms to work successfully. Feature engineering is a fundamental part of the data preparation workflow for machine learning solutions.

Youssef-AK/Hamoye_Intern

Youssef-AK/Hands-on-ML-v2

This a few projects from our applied on hands-on machine learning with scikit-learn and tensorflow 2nd edition

Youssef-AK/Intel_Machine_Learning

This course provides an overview of machine learning fundamentals on modern Intel® architecture. Topics covered include: Reviewing the types of problems that can be solved Understanding building blocks Learning the fundamentals of building models in machine learning Exploring key algorithms By the end of this course, students will have practical knowledge of: Supervised learning algorithms Key concepts like under- and over-fitting, regularization, and cross-validation How to identify the type of problem to be solved, choose the right algorithm, tune parameters, and validate a model The course is structured around 12 weeks of lectures and exercises. Each week requires three hours to complete. The exercises are implemented in Python*, so familiarity with the language is encouraged (you can learn along the way).

Youssef-AK/malware_api_class

Malware dataset for security researchers, data scientists. Public malware dataset generated by Cuckoo Sandbox based on Windows OS API calls analysis for cyber security researchers

Youssef-AK/Malwr-Detection

Build Malware Detection/Classifier based on BODMAS Dataset

Youssef-AK/MLSec-Summer-2022-

Youssef-AK/NLP-Arabic_Twittes

Youssef-AK/PDF-Evasive-Detector

PDF-Evasive Detection with ML/DL based on CIC-Evasive-PDFMal2022

Youssef-AK/PISA-2012-Project

Youssef-AK/Safend-AI

Solution that solves: SMS, social media, QR Code Phishing attacks.

Youssef-AK/ShAi-Training-2022

Part of my training at SHAI For AI -Class 2022-

Youssef-AK/SimpleFraudDetection

Youssef-AK/Time-Series-365DS

Code of course Time series analysis from 365-DataScience

Youssef-AK/Unsupervised-Learning

Mini-bootcamp from Dphi

Youssef-AK/Youssef-AK.github.io