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Instructor: Ryan Ahmed
12,779 already enrolled
Included with 
(257 reviews)
Recommended experience
Beginner level
Basic python programming and mathematics.
(257 reviews)
Recommended experience
Beginner level
Basic python programming and mathematics.
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
Add to your LinkedIn profile
Only available on desktop
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.
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
Basic python programming and mathematics.
We asked all learners to give feedback on our instructors based on the quality of their teaching style.
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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.
257 reviews
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4.66%
1.55%
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Showing 3 of 257
Reviewed on Aug 14, 2020
Great practice for important concepts in data science.
Reviewed on Oct 25, 2020
Bit more explanation inside codes was required. Overall great experience.
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.
The University of Hong Kong
Course
Wesleyan University
Course
Alberta Machine Intelligence Institute
Specialization
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