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学生对 Coursera Project Network 提供的 Fake News Detection with Machine Learning 的评价和反馈

4.6
262 个评分

课程概述

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....

热门审阅

SG

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.

GM

Aug 31, 2020

Each thing explains in a very simple way. As mention beginner to intermediate level.

筛选依据:

26 - Fake News Detection with Machine Learning 的 45 个评论(共 45 个)

创建者 Vika P

Oct 3, 2024

Great course! Thank you

创建者 K V S 1

Jun 27, 2021

great explanation sir

创建者 Virendra G

Nov 1, 2020

Excellent course.

创建者 Gert K

Jun 18, 2025

Great assignment

创建者 Glenn P

Oct 2, 2022

Great course

创建者 Charudatt M

Jul 5, 2021

Best course

创建者 as 2

Aug 17, 2020

very useful

创建者 Paindla N r

Nov 22, 2020

very good

创建者 Misha U K

Sep 8, 2020

Good one

创建者 KRITHIK R P 2

Jul 16, 2021

nice

创建者 PODUGU S C

Sep 23, 2020

GOOD

创建者 ANSHUL S

Sep 20, 2020

good

创建者 KARTHIKEYAN

Dec 21, 2021

.

创建者 Kevin C I

Apr 24, 2022

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

创建者 Hritul P

Sep 12, 2020

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

创建者 shubhika g

Oct 26, 2020

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

创建者 Dr. S L Y

Aug 26, 2022

It was an amazing hands on experience

创建者 bhupesa p

Sep 7, 2020

Interesting.

创建者 K V 2

Jun 16, 2021

good

创建者 Amit G

Jun 15, 2021

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