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Вернуться к Language Classification with Naive Bayes in Python

Отзывы учащихся о курсе Language Classification with Naive Bayes in Python от партнера Coursera Project Network

Оценки: 149

О курсе

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....

Лучшие рецензии


9 авг. 2020 г.

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


24 июля 2020 г.

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

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26–29 из 29 отзывов о курсе Language Classification with Naive Bayes in Python

автор: Akanksha S

18 мая 2020 г.


автор: Harsh S

22 июня 2020 г.

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.

автор: Tejaswini P

30 июня 2020 г.

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

автор: TUSHAR S

2 нояб. 2020 г.

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.