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Learner Reviews & Feedback for Fake News Detection with Machine Learning by Coursera Project Network

4.6
stars
263 ratings

About the 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....

Top reviews

SG

Oct 25, 2020

Bit more explanation inside codes was required. Overall great experience.

MM

Aug 14, 2020

Great practice for important concepts in data science.

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26 - 45 of 45 Reviews for Fake News Detection with Machine Learning

By Vika P

•

Oct 3, 2024

Great course! Thank you

By K V S 1

•

Jun 27, 2021

great explanation sir

By Virendra G

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Nov 1, 2020

Excellent course.

By Gert K

•

Jun 18, 2025

Great assignment

By Glenn P

•

Oct 2, 2022

Great course

By Charudatt M

•

Jul 5, 2021

Best course

By as 2

•

Aug 17, 2020

very useful

By Paindla N r

•

Nov 22, 2020

very good

By Misha U K

•

Sep 8, 2020

Good one

By KRITHIK R P 2

•

Jul 16, 2021

nice

By PODUGU S C

•

Sep 23, 2020

GOOD

By ANSHUL S

•

Sep 20, 2020

good

By KARTHIKEYAN

•

Dec 21, 2021

.

By Kevin C I

•

Apr 24, 2022

This project has boosted my confidence to attempt other NLP related tasks. Well taught! Thank you.

By Hritul P

•

Sep 12, 2020

Not that good for people new to python and ml, many high level concepts are used in this project!

By shubhika g

•

Oct 26, 2020

Bit more explanation inside codes was required. Overall great experience.

By Dr. S L Y

•

Aug 26, 2022

It was an amazing hands on experience

By bhupesa p

•

Sep 7, 2020

Interesting.

By K V 2

•

Jun 16, 2021

good

By Amit G

•

Jun 15, 2021

Too much to stuff in a 2 hour project. The level of python can be improved.