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Coursera Project Network

Fake News Detection with Machine Learning

Ryan Ahmed

Instructor: Ryan Ahmed

12,184 already enrolled

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Learn, practice, and apply job-ready skills with expert guidance
4.6

(253 reviews)

Beginner level

Recommended experience

2 hours
Learn at your own pace
Hands-on learning
Learn, practice, and apply job-ready skills with expert guidance
4.6

(253 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

Details to know

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Taught in English
No downloads or installation required

Only available on desktop

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Learn, practice, and apply job-ready skills in less than 2 hours

  • Receive training from industry experts
  • Gain hands-on experience solving real-world job tasks
  • Build confidence using the latest tools and technologies
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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:

  1. Understand the Problem Statement and business case 

  2. Import libraries and datasets

  3. Perform Exploratory Data Analysis

  4. Perform Data Cleaning

  5. Visualize the cleaned data

  6. Prepare the data by tokenizing and padding

  7. Understand the theory and intuition behind Recurrent Neural Networks

  8. Understand the theory and intuition behind LSTM

  9. Build and train the model

  10. Assess trained model performance

Recommended experience

Basic python programming and mathematics.

4 project images

Instructor

Instructor ratings
4.9 (17 ratings)
Ryan Ahmed
Coursera Project Network
38 Courses84,912 learners

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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

Showing 3 of 253

4.6

253 reviews

  • 5 stars

    71.93%

  • 4 stars

    20.15%

  • 3 stars

    4.74%

  • 2 stars

    1.58%

  • 1 star

    1.58%

MM
5

Reviewed on Aug 14, 2020

HM
5

Reviewed on Nov 2, 2020

KI
4

Reviewed on Apr 23, 2022

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