Article

• Title: Breaking news:ML can help detect fake news and this isn’t fake news 😉
• Link:https://medium.com/@serjankaur/breaking-news-ml-can-help-detect-fake-news-and-this-isnt-fake-news-e1629268bb20
• Description :Every day, more than 3.2 billion photos and 700,000 hours of video are uploaded. Which makes me wonder: how can we tell what's reliable and what's not in the face of so much information? I used classification techniques and frequency vectorizers to solve this problem.

Video:

• Title: Tired of falling for fake news? I can help!
• Link: https://youtu.be/l6R6vsCove4
• Description: Today well over 3.2 billion pictures and 700,000 hours of videos are posted every single day. Which makes me wonder ,When faced with such a glut of content, how can we know what’s reliable and what’s not? I tried solving this issue using classification techniques and frequency vectorizers. If you want to learn more about the process, check out my article!

Showcase presentation @Microsoft Head Office :

https://youtu.be/XSWFTaCDlg8?t=25