GM
5.0Reviewed Aug 31, 2020
Each thing explains in a very simple way. As mention beginner to intermediate level.
Fake News Detection with Machine Learning
In this hands-on project, we will train a Bidirectional Neural Network and LSTM based deep learning model to detect fake news from a given news corpus. This project could be practically used by any media company to automatically predict whether the circulating news is fake or not. The process could be done automatically without having humans manually review thousands of news related articles. Note: This course works best for learners who are based in the North America region. We’re currently working on providing the same experience in other regions.
Status: Machine Learning
Status: Data Import/Export
BeginnerGuided Project2 hours
Featured reviews
KI
4.0Reviewed Apr 23, 2022
This project has boosted my confidence to attempt other NLP related tasks. Well taught! Thank you.
HM
5.0Reviewed Nov 2, 2020
This guided project is good for practicing the theory involved in NLP and RNNs.
BB
5.0Reviewed Sep 17, 2020
Great project, very approachable. Touches on all the essentials!
SG
4.0Reviewed Oct 25, 2020
Bit more explanation inside codes was required. Overall great experience.
MM
5.0Reviewed Aug 14, 2020
Great practice for important concepts in data science.
SG
5.0Reviewed Oct 23, 2020
Instructor Ryan has taken a lot of efforts to explain the topics, Advanced concepts like RNNs and LSTMs are clearly explained. Loved it.
KP
5.0Reviewed Oct 26, 2020
Excellent introduction for AI/ML tools in the detection and analysis of fake news.