13 - End-to-End Machine Learning Project - Content-based features by BeautifulSoup module in Python
In this video, I explained content-based features and displayed feature engineering methods by BeautifulSoup module in Python.
I divided content-based features into two types: Binary & Quantitative. You can enlarge the feature set by using different tools like Python Selenium. Or you can focus on javascript-based features. We will use these html-based features in the training process of our Machine Learning models.
Github Link:
https://github.com/emre-kocyigit/cont...
#machinelearning
#htmlbasedfeatures
#contentbasedphishingdetection
#phishingdetection
#featureengineeringwithPython
#python
#beautifulsoup
Timecode:
0:00 Introduction to content-based features(html)
1:45 Create a python file for features and a soup variable by BeautifulSoup
2:56 Define binary content-based features by BeautifulSoup
9:42 Define quantitative content-based features by BeautifulSoup
13:54 Test content-based features with different html files
14:40 Closing