Fake News Detection with Machine Learning

Coursera Project Network

In this hands-on project, you will learn to train a Bidirectional Neural Network and LSTM based deep learning model to detect fake news from a given news corpus. This practical application can be used by media companies to automatically predict whether circulating news is fake or not, eliminating the need for manual review of thousands of news articles.

Create a pipeline to remove stop-words, perform tokenization, and padding.
Gain understanding of the theory and intuition behind Recurrent Neural Networks and LSTM.
Train the deep learning model and assess its performance.

Note: This course is best suited for learners based in the North America region, with plans to expand to other regions in the future.

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