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darkprinx / break-the-ice-with-python

Star 2.8k

The repository is about 100+ python programming exercise problem discussed, explained, and solved in different ways

python discussion tutorial practice programming learning-python interview learning-exercise opinions python-challenge 100-days-of-code tutorial-code 100 python-examples python-programming-exercises python-playground python-exercise 100-programming-problems 100-python-problem 100-plus-python-programming
  • Updated Jul 27, 2024
  • Jupyter Notebook

LiYangHart / Hyperparameter-Optimization-of-Machine-Learning-Algorithms

Star 1.3k

Implementation of hyperparameter optimization/tuning methods for machine learning & deep learning models (easy&clear)

machine-learning deep-learning random-forest optimization svm genetic-algorithm machine-learning-algorithms hyperparameter-optimization artificial-neural-networks grid-search tuning-parameters knn bayesian-optimization hyperparameter-tuning random-search particle-swarm-optimization hpo python-examples python-samples hyperband
  • Updated Sep 22, 2022
  • Jupyter Notebook

Western-OC2-Lab / AutoML-Implementation-for-Static-and-Dynamic-Data-Analytics

Star 624

Implementation/Tutorial of using Automated Machine Learning (AutoML) methods for static/batch and online/continual learning

iot machine-learning deep-learning model-selection data-preprocessing feature-engineering hyperparameter-tuning concept-drift automl intrusion-detection-system automated-machine-learning data-streams python-examples data-stream-processing python-samples iot-data-analytics
  • Updated May 14, 2024
  • Jupyter Notebook

Western-OC2-Lab / Intrusion-Detection-System-Using-Machine-Learning

Star 421

Code for IDS-ML: intrusion detection system development using machine learning algorithms (Decision tree, random forest, extra trees, XGBoost, stacking, k-means, Bayesian optimization..)

machine-learning random-forest xgboost hyperparameter-optimization intrusion-detection lightgbm ensemble-learning kmeans autonomous-vehicles bayesian-optimization cyber-security decision-tree hpo network-security stacking intrusion-detection-system python-examples catboost cicids2017
  • Updated Oct 13, 2023
  • Jupyter Notebook

milaan9 / 90_Python_Examples

Star 290

The best way to learn Python is by practicing examples. The repository contains examples of basic concepts of Python. You are advised to take the references from these examples and try them on your own.

examples python-programming python-exercises python4beginner python-examples python-exercises-for-interview examples-python python-tutorial-notebook python-tutor python4everybody python-tutorial-github python4datascience tutor-milaan9 object-oriented-examples flow-control-examples python-functions-examples python-examples-github python-files-examples python-advance-examples python-basic-examples
  • Updated Nov 2, 2023
  • Jupyter Notebook

jassics / python-for-cybersecurity

Star 234

Python for cybersecurity with the basic concepts, easy to understand code examples, lab exercises, real-world examples, different security scripts covering web security, network security, defensive security, crypto examples, exploits etc...

python python-tutorials python3 python-programming python-scripts python-practice python-security python-examples python-for-everyone python-for-beginners python-projects
  • Updated Oct 26, 2024
  • Python

Western-OC2-Lab / AutoML-and-Adversarial-Attack-Defense-for-Zero-Touch-Network-Security

Star 27

This repository includes code for the AutoML-based IDS and adversarial attack defense case studies presented in the paper "Enabling AutoML for Zero-Touch Network Security: Use-Case Driven Analysis" published in IEEE Transactions on Network and Service Management.

machine-learning deep-learning feature-selection cybersecurity hyperparameter-optimization ids feature-engineering network-automation hyperparameter-tuning concept-drift automl intrusion-detection-system automated-machine-learning data-streams adversarial-machine-learning python-examples data-stream-processing adversarial-attacks 6g zero-touch-network
  • Updated Sep 20, 2024
  • Jupyter Notebook

Western-OC2-Lab / AutonomousCyber-AutoML-based-Autonomous-Intrusion-Detection-System

Star 14

This repository includes code for the paper "Towards Autonomous Cybersecurity: An Intelligent AutoML Framework for Autonomous Intrusion Detection" accepted in AutonomousCyber, ACM CCS, 2024.

machine-learning deep-learning feature-selection cybersecurity hyperparameter-optimization ids feature-engineering network-automation hyperparameter-tuning automl intrusion-detection-system automated-machine-learning python-examples 6g zero-touch-network autonomous-networks
  • Updated Nov 8, 2024
  • Jupyter Notebook

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