Fake News Detection with Machine Learning

About this course

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.

What you will learn

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