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Intrusion-Detection-System-Using-Machine-Learning

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

blackhat-python3

Source code for the book "Black Hat Python" by Justin Seitz. The code has been fully converted to Python 3, reformatted to comply with PEP8 standards and refactored to eliminate dependency issues involving the implementation of deprecated libraries.

Popularity
Repository stars6012,384Highest
7-day net stars——
Fork162455Highest
30-day trendInsufficient historyInsufficient history
Maintenance
Last push2026-04-012024-07-19
Maintenance notesNot verifiedNot verified
Repository created2021-05-252020-04-28
License & use
LicenseMIT · PermissiveLicense not declared
License sourceLicense source—
PricingPricing not verifiedPricing not verified
Basics
Browse by purposeNetwork securityNetwork security
TypeApps & systemsApps & systems
SubcategoryDeveloper toolsDeveloper tools
PlatformNot verifiedNot verified
Cost detailsCheck current official software, hosting, model and infrastructure pricing.Check current official software, hosting, model and infrastructure pricing.
Pricing source——
First collected2026-11-032026-11-03
MetricRepository stars, not unique users or individual-skill installsRepository stars, not unique users or individual-skill installs
LanguageJupyter NotebookPython
About this projectCode for IDS-ML: intrusion detection system development using machine learning algorithms (Decision tree, random forest, extra trees, XGBoost, stacking, k-means, Bayesian optimization..)Source code for the book "Black Hat Python" by Justin Seitz. The code has been fully converted to Python 3, reformatted to comply with PEP8 standards and refactored to eliminate dependency issues involving the implementation of deprecated libraries.
RepositoryWestern-OC2-Lab / Intrusion-Detection-System-Using-Machine-LearningEONRaider / blackhat-python3
Measured at2026-11-02 19:02 UTC2026-11-02 19:02 UTC

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