Udemy - Building Machine Learning and NLP Models for Cyber Security

  • CategoryOther
  • TypeTutorials
  • LanguageEnglish
  • Total size1.6 GB
  • Uploaded Byfreecoursewb
  • Downloads96
  • Last checkedSep. 30th '25
  • Date uploadedSep. 26th '25
  • Seeders 10
  • Leechers8

Infohash : 74E153EF5056CDA583C4904AB1735AAD5E7F49B4

Building Machine Learning & NLP Models for Cyber Security

https://WebToolTip.com

Published 9/2025
Created by Christ Raharja
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Level: All | Genre: eLearning | Language: English | Duration: 21 Lectures ( 3h 47m ) | Size: 1.6 GB

Learn how to build intrusion detection model, detect cyber threat, predict vulnerability score, detect phishing email

What you'll learn
Learn how to build intrusion detection model using Random Forest Classifier
Learn how to detect cyber threat using K Nearest Neighbour
Learn how to predict vulnerability score using MLP Regressor
Learn how to detect phishing email using NLP and Naive Bayes
Learn how to build intrusion detection model using Logistic Regression
Learn how to detect cyber threat using XGBoost
Learn how to predict vulnerability score using Decision Tree Regressor
Learn how to analyze user behaviour using unsupervised machine learning and K Means Clustering
Learn how to conduct exploratory data analysis
Learn how to perform features selection using Random Forest
Learn about machine learning and natural language processing applications in cyber security
Learn how intrusion detection models work. This section covers data collection, preprocessing, feature selection, model training, detecting intrusion
Learn how to clean dataset by removing missing values and duplicates
Learn how to test machine learning model in real time simulation

Requirements
No previous experience in machine learning is required
Basic knowledge in Python and cyber security

Files:

[ WebToolTip.com ] Udemy - Building Machine Learning and NLP Models for Cyber Security
  • Get Bonus Downloads Here.url (0.2 KB)
    • ~Get Your Files Here ! 1 - Introduction to the Course
    • 1 - Introduction.mp4 (79.4 MB)
    • 2 - Machine Learning and NLP for Cyber Security.pptx (2.2 MB)
    • 2 - Table of Contents.mp4 (51.3 MB)
    • 3 - Whom This Course is Intended for.mp4 (36.5 MB)
    10 - Building Intrusion Detection Model with Random Forest Classifier
    • 1 - Building Intrusion Detection Model with Random Forest Classifier.mp4 (163.2 MB)
    • 1 - buildingintrusiondetectionmodelwithrandomforestclassifier.py (2.6 KB)
    11 - Building Intrusion Detection Model with Logistic Regression
    • 1 - Building Intrusion Detection Model with Logistic Regression.mp4 (93.6 MB)
    • 1 - buildingintrusiondetectionmodelwithlogisticregression.py (2.7 KB)
    12 - Detecting Cyber Threat with K Nearest Neighbour
    • 1 - Detecting Cyber Threat with K Nearest Neighbour.mp4 (139.9 MB)
    • 1 - detectingcyberthreatwithknn.py (1.8 KB)
    13 - Detecting Cyber Threat with XGBoost
    • 1 - Detecting Cyber Threat with XGBoost.mp4 (70.0 MB)
    • 1 - detectingcyberthreatwithxgboost.py (2.0 KB)
    14 - Predicting Vulnerability Score with MLP Regressor
    • 1 - Predicting Vulnerability Score with MLP Regressor.mp4 (142.1 MB)
    • 1 - predictingvulnerabilityscorewithmlpregressor.py (2.2 KB)
    15 - Predicting Vulnerability Score with Decision Tree Regressor
    • 1 - Predicting Vulnerability Score with Decision Tree Regressor.mp4 (50.5 MB)
    • 1 - predictingvulnerabilityscorewithdecisiontreeregressor.py (2.1 KB)
    16 - Detecting Phishing Email with NLP & Naive Bayes
    • 1 - Detecting Phishing Email with NLP & Naive Bayes.mp4 (84.6 MB)
    • 1 - detectingphishingemailwithnlp.py (1.5 KB)
    17 - Analyzing User Behaviour with Unsupervised Machine Learning & K Means Clustering
    • 1 - Analyzing User Behaviour with Unsupervised Machine Learning & K Means Clustering.mp4 (86.7 MB)
    • 1 - analyzinguserbehaviourwithunsupervisedmachinelearning.py (1.4 KB)
    18 - Testing Machine Learning Model in Real Time Simulation
    • 1 - Testing Machine Learning Model in Real Time Simulation.mp4 (133.5 MB)
    • 1 - testingmachinelearningmodelinrealtimesimulation.py (3.2 KB)
    19 - Conclusion & Summary
    • 1 - Conclusion & Summary.mp4 (31.6 MB)
    2 - Tools, IDE, and Datasets
    • 1 - Tools, IDE, and Datasets.mp4 (66.3 MB)
    3 - Machine Learning & NLP Applications in Cyber Security
    • 1 - MLandNLPApplicationsinCyberSecurity.png (199.5 KB)
    • 1 - Machine Learning & NLP Applications in Cyber Security.mp4 (28.7 MB)
    4 - How Intrusion Detection Model Works
    • 1 - How Intrusion Detection Model Works.mp4 (50.8 MB)
    • 1 - HowIntrusionDetectionModelWorks.png (295.3 KB)
    5 - Finding & Downloading Cyber Security Datasets From Kaggle
    • 1 - Finding & Downloading Cyber Security Datasets From Kaggle.mp4 (64.0 MB)
    • 1 - UserBehaviourAnalytics.csv (5.8 KB)
    6 - Uploading Dataset to Google Colab IDE
    • 1 - Uploading Dataset to Google Colab IDE.mp4 (34.2 MB)
    7 - Cleaning Dataset by Removing Missing Values & Duplicates
    • 1 - Cleaning Dataset by Removing Missing Values & Duplicates.mp4 (29.1 MB)
    • 1 - cleaningcybersecuritydataset.py (0.8 KB)
    8 - Conducting Exploratory Data Analysis
    • 1 - Conducting Exploratory Data Analysis.mp4 (93.9 MB)
    • 1 - exploratorydataanalysiscybersecurity.py (1.8 KB)
    9 - Feature Selection with Random Forest
    • 1 - Feature Selection with Random Forest.mp4 (112.4 MB)
    • 1 - featureselectionwithrandomforest.py (1.9 KB)
    • Bonus Resources.txt (0.1 KB)

Code:

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