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學生對 Coursera Project Network 提供的 Language Classification with Naive Bayes in Python 的評價和反饋

4.5
148 個評分
29 條評論

課程概述

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....

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EC
2020年8月9日

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

AK
2020年7月24日

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

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26 - Language Classification with Naive Bayes in Python 的 29 個評論(共 29 個)

創建者 Akanksha S

2020年5月18日

good

創建者 Harsh S

2020年6月22日

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.

創建者 Tejaswini P

2020年6月30日

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

創建者 TUSHAR S

2020年11月2日

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.