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学生对 Coursera Project Network 提供的 Language Classification with Naive Bayes in Python 的评价和反馈

97 个评分
19 条评论


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....

1 - Language Classification with Naive Bayes in Python 的 19 个评论(共 19 个)

创建者 Lakshit A

May 09, 2020

The project was good enough to understand the concepts of Naive Bayes that too in Python, but the Rhyme virtual machine was just not right place to learn on the go things cause it's seriously slow and video buffers too much. Above all it was an awesome project.

创建者 Yulius D

May 31, 2020

a great explanation from the instructor

创建者 Grace A J P

May 03, 2020

An excellent course, I recommend it.

创建者 Mayank S

Apr 28, 2020

Good Course.

Well Explained

创建者 Ashwin P

May 12, 2020

excellent Naive Bayes

创建者 Hafiz M S H

Jul 01, 2020

The course is good


Jun 02, 2020

Very Helpful !


Jun 26, 2020

Great Project


Jun 15, 2020

Good course

创建者 Doss D

Jul 02, 2020

Thank you

创建者 Swapna V

Jul 02, 2020

good one

创建者 tale p

Jun 26, 2020


创建者 p s

Jun 25, 2020


创建者 Rifat R

Jun 13, 2020


创建者 Veeramanickam M

May 04, 2020

Thank you, required more information on naive Bayes with classification.

创建者 Francisco R P d l R

Jun 24, 2020

Very nice guided project and useful for my job purposes

创建者 Akanksha S

May 18, 2020


创建者 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.

创建者 P. T

Jun 30, 2020

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