Cybersecurity with Data Science: Implementation
Udemy Course Cybersecurity with Data Science: Implementation | NED
Cybersecurity, data science and digital transformation experts. Since 2015, digital technologies have become the 4th industrial revolution after the steam machine in 1780's, electricity in 1870's and electronics / information technologies in 1970's.
by Amine Mehablia
Cybersecurity, data science and digital transformation experts. Since 2015, digital technologies have become the 4th industrial revolution after the steam machine in 1780's, electricity in 1870's and electronics / information technologies in 1970's.
by Amine Mehablia
What you'll learn
- Hands-on of Machine Learning in Cybersecurity
- Supervised and unsupervised machine learning models for cybersecurity
- Section 1:Statistics - Machine Learning
- Lecture 1:Central Tendency (Preview)
- Lecture 2:Measures Dispersion (Preview)
- Lecture 3:Data Visualization (Preview)
- Lecture 4:Confusion Matrix, Accuracy and Kappa
- Section 2:Case Studies
- Lecture 5:Introduction to Payment Fraud (Preview)
- Lecture 6:Machine Learning in Payment Fraud
- Lecture 7:"NO CODING"_Machine Learning in Payment Fraud
- Lecture 8:Introduction to Malware
- Lecture 9:Machine Learning in Malware
- Lecture 10:Introduction to Phishing
- Lecture 11:Machine Learning in Phishing
- Lecture 12:Introduction to IDS
- Lecture 13:Machine Learning in IDS
- Lecture 14:Introduction to Spam
- Lecture 15:Machine Learning in Spam
- Lecture 16:Introduction to Twitter Bot Detector
- Lecture 17:Machine Learning in Twitter Bot Detector
- Lecture 18:Introduction to Malicious SQL Injection
- Lecture 19:Machine Learning in SQL Injection
- Lecture 20:"NO CODE"_Machine Learning in Medical Fraud Detection (Preview)
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