Completed
Malware Classification
Class Central Classrooms beta
YouTube playlists curated by Class Central.
Classroom Contents
An Open Source Malware Classifier and Dataset
Automatically move to the next video in the Classroom when playback concludes
- 1 Introduction
- 2 Why Open Datasets
- 3 Amnesty
- 4 Security Locks Datasets
- 5 Malware Classification
- 6 Ember
- 7 The Name
- 8 The Dataset
- 9 The Training Set
- 10 The Data
- 11 Two Types of Features
- 12 Calculating Features
- 13 Categories of Features
- 14 Section Information
- 15 Strings
- 16 File Size
- 17 Feature Vectorization
- 18 Training a Model
- 19 Scoring the Model
- 20 Disclaimer
- 21 Code Base
- 22 Python Notebook
- 23 Feature Engineering
- 24 Semisupervised Learning
- 25 Offensive Research
- 26 Demo Time
- 27 Hat
- 28 Download Data
- 29 Packed Samples
- 30 Metadata
