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.
Natural Language Processing
由 MK 提供Aug 14, 2020
Great practice for important concepts in data science.
由 SG 提供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.
由 GM 提供Aug 31, 2020
Each thing explains in a very simple way. As mention beginner to intermediate level.
由 BB 提供Sep 17, 2020
Great project, very approachable. Touches on all the essentials!