Back to Fake News Detection with Machine Learning
Coursera

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: Artificial Neural Networks
Status: Python Programming
BeginnerGuided Project2 hours

Featured reviews

Reviewed Aug 31, 2020

Each thing explains in a very simple way. As mention beginner to intermediate level.

Reviewed Apr 23, 2022

This project has boosted my confidence to attempt other NLP related tasks. Well taught! Thank you.

Reviewed Nov 2, 2020

This guided project is good for practicing the theory involved in NLP and RNNs.

Reviewed Sep 17, 2020

Great project, very approachable. Touches on all the essentials!

Reviewed Oct 25, 2020

Bit more explanation inside codes was required. Overall great experience.

Reviewed Aug 14, 2020

Great practice for important concepts in data science.

Reviewed 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.

Reviewed Oct 26, 2020

Excellent introduction for AI/ML tools in the detection and analysis of fake news.

All reviews

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