9 - End-to-End Machine Learning Project - Phishing Detection - How to start & understand the problem
In this video, I explained how to start and understand the problem. I showed practical ways of understanding the problem and requirements such as making a literature review, inspecting open source examples.
This is the most important step of End-to-End Machine Learning project because if you don't understand the problem at the beginning, the following steps will probably missing, wrong or inefficient.
For the literature review:
https://scholar.google.com/
For the open source code examples:
https://github.com/
For the open source dataset examples:
https://www.kaggle.com/
#machinelearning
#howtounderstandtheMLproject
#literaturereview
#phishingdetectionwithML
#whatisphishingattack
Timecodes
0:00 Intro
0:38 Review the related works
3:52 Tips to understand the problem
4:23 What is Phishing attack?
5:33 What are the problems of phishing?
6:11 Solution proposals for phishing detection
7:00 Questions, challenge yourself!
7:27 Suggestions
8:30 ML-based phishing detection
9:15 Questions, challenge yourself!
9:45 Name of the study
10:13 Open source examples
11:55 Closing