Udemy - Building Machine Learning and NLP Models for Cyber Securi...

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