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Learner Reviews & Feedback for Language Classification with Naive Bayes in Python by Coursera Project Network
147 ratings
About the Course
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.
Top reviews
Aug 9, 2020
Excellent and well organized course. Instructor explained concepts clearly and encouraged us to attempt the steps before he showed his solution.
Jul 24, 2020
Excellent course, recommended for a starter in NLP. The teaching pace and topics covered are just right. Kudos!
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26 - 29 of 29 Reviews for Language Classification with Naive Bayes in Python
By Akanksha S
•May 18, 2020
good
By Harsh S
•Jun 22, 2020
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.
By Tejaswini P
•Jun 30, 2020
It is a very good experience to do this project but it would be better if it has more explanation.
By TUSHAR S
•Nov 2, 2020
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.
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