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Language Classification with Naive Bayes in Python(으)로 돌아가기

Coursera Project Network의 Language Classification with Naive Bayes in Python 학습자 리뷰 및 피드백

4.5
별점
149개의 평가

강좌 소개

In this 1-hour long project, you will learn how to clean and preprocess data for language classification. You will learn some theory behind Naive Bayes Modeling, and the impact that class imbalance of training data has on classification performance. You will learn how to use subword units to further mitigate the negative effects of class imbalance, and build an even better model....

최상위 리뷰

EC

2020년 8월 9일

Excellent and well organized course. Instructor explained concepts clearly and encouraged us to attempt the steps before he showed his solution.

AK

2020년 7월 24일

Excellent course, recommended for a starter in NLP. The teaching pace and topics covered are just right. Kudos!

필터링 기준:

Language Classification with Naive Bayes in Python의 29개 리뷰 중 26~29

교육 기관: Akanksha S

2020년 5월 18일

good

교육 기관: Harsh S

2020년 6월 22일

the material and explanation was great, but i was not able to download the project file and also using the cloud virtual machine was not a very smooth experience.

교육 기관: Tejaswini P

2020년 6월 30일

It is a very good experience to do this project but it would be better if it has more explanation.

교육 기관: TUSHAR S

2020년 11월 2일

Very bad teaching style and didn't explain the meaning behind the code used. Also, didn't explain the concepts /related mathematics involved in naive Bayes.