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.
Fake News Detection with Machine Learning
Fake News Detection with Machine Learning
Instructor: Ryan Ahmed
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4.6
(258 reviews)
Beginner level
Recommended experience
2 hours
Learn at your own pace
Hands-on learning
What you'll 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
Skills you'll practice
Details to know
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Taught in English
No downloads or installation required
Only available on desktop
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About this Guided Project
Learn step-by-step
In a video that plays in a split-screen with your work area, your instructor will walk you through these steps:
Understand the Problem Statement and business case
Import libraries and datasets
Perform Exploratory Data Analysis
Perform Data Cleaning
Visualize the cleaned data
Prepare the data by tokenizing and padding
Understand the theory and intuition behind Recurrent Neural Networks
Understand the theory and intuition behind LSTM
Build and train the model
Assess trained model performance
Recommended experience
Basic python programming and mathematics.
4 project images
Instructor
Instructor ratings
4.9 (17 ratings)Offered by
How you'll learn
Skill-based, hands-on learning
Practice new skills by completing job-related tasks.
Expert guidance
Follow along with pre-recorded videos from experts using a unique side-by-side interface.
No downloads or installation required
Access the tools and resources you need in a pre-configured cloud workspace.
Available only on desktop
This Guided Project is designed for laptops or desktop computers with a reliable Internet connection, not mobile devices.
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Learner reviews
4.6
258 reviews
- 5 stars
71.31%
- 4 stars
20.93%
- 3 stars
4.65%
- 2 stars
1.55%
- 1 star
1.55%
Showing 3 of 258
MM
5
Reviewed on Aug 14, 2020
Great practice for important concepts in data science.
SG
5
Reviewed on 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.
SG
4
Reviewed on Oct 25, 2020
Bit more explanation inside codes was required. Overall great experience.
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Frequently asked questions
By purchasing a Guided Project, you'll get everything you need to complete the Guided Project including access to a cloud desktop workspace through your web browser that contains the files and software you need to get started, plus step-by-step video instruction from a subject matter expert.
Because your workspace contains a cloud desktop that is sized for a laptop or desktop computer, Guided Projects are not available on your mobile device.
Guided Project instructors are subject matter experts who have experience in the skill, tool or domain of their project and are passionate about sharing their knowledge to impact millions of learners around the world.