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.
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- Level Beginner
- Duration 3 hours
- Course by Coursera
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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.Modules
NLP Fake News Detector
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Assignment
- Graded Quiz: Test your Project Understanding
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Labs
- Fake News Detection with Machine Learning
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Readings
- Project-based Course Overview
Auto Summary
Discover the "Fake News Detection with Machine Learning" course in Data Science & AI, taught by Coursera. This beginner-level, hands-on project focuses on training a Bidirectional Neural Network and LSTM-based deep learning model to detect fake news. Ideal for media companies, the course spans 180 minutes and is available for free, primarily benefiting learners in North America.
Ryan Ahmed