Data Science Cybersecuity Implementation

Data Science Cybersecuity Implementation, available at $24.99, has an average rating of 3.65, with 20 lectures, based on 20 reviews, and has 136 subscribers.

You will learn about Hands-on of Machine Learning in Cybersecurity Supervised and unsupervised machine learning models for cybersecurity This course is ideal for individuals who are College students or Those who want a career change It is particularly useful for College students or Those who want a career change.

Enroll now: Data Science Cybersecuity Implementation

Summary

Title: Data Science Cybersecuity Implementation

Price: $24.99

Average Rating: 3.65

Number of Lectures: 20

Number of Published Lectures: 20

Number of Curriculum Items: 20

Number of Published Curriculum Objects: 20

Original Price: $27.99

Quality Status: approved

Status: Live

What You Will Learn

Hands-on of Machine Learning in Cybersecurity
Supervised and unsupervised machine learning models for cybersecurity

Who Should Attend

College students
Those who want a career change

Target Audiences

College students
Those who want a career change

Machine learning is disrupting cybersecurity to a greater extent than almost any other industry. Many problems in cyber security are well suited to the application of machine learning as they often involve some form of anomaly detection on very large volumes of data. This course deals the most found issues in cybersecurity such as malware, anomalies detection, SQL injection, credit card fraud, bots, spams and phishing. All these problems are covered in case studies.

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)

Data.zip

Course Curriculum

Chapter 1: Statistics – Machine Learning Metrics

Lecture 1: Central Tendency

Lecture 2: Measures Dispersion

Lecture 3: Data Visualization

Lecture 4: Confusion Matrix, Accuracy and Kappa

Chapter 2: Case Studies – Implementation

Lecture 1: Introduction to Payment Fraud

Lecture 2: Machine Learning in Payment Fraud

Lecture 3: "NO CODE"_Machine Learning in Payment Fraud

Lecture 4: Introduction to Malware

Lecture 5: Machine Learning in Malware

Lecture 6: Introduction to Phishing

Lecture 7: Machine Learning in Phishing

Lecture 8: Introduction to IDS

Lecture 9: Machine Learning in IDS

Lecture 10: Introduction to Spam

Lecture 11: Machine Learning in Spam

Lecture 12: Introduction to Twitter Bot Detector

Lecture 13: Machine Learning in Twitter Bot Detector

Lecture 14: Introduction to Malicious SQL Injection

Lecture 15: Machine Learning in SQL Injection

Lecture 16: "NO CODING"_Machine Learning in Medical Fraud Detection

Instructors

Amine Mehablia
Cybersecurity, Machine Learning and Blockchain

Rating Distribution

1 stars: 2 votes
2 stars: 2 votes
3 stars: 8 votes
4 stars: 5 votes
5 stars: 3 votes

Frequently Asked Questions

How long do I have access to the course materials?

You can view and review the lecture materials indefinitely, like an on-demand channel.

Can I take my courses with me wherever I go?

Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!

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