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

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.

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

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

Nice explanation by the instructor throughout the project :)

a great explanation from the instructor

An excellent course, I recommend it.

Good Course.

Well Explained

This courses is very good

excellent Naive Bayes

The course is good

Good instructor.

Very Helpful !

Great Project

nice course

Good course

Thank you

good one

Thanks

good

Good

Nice

A strong ramp-up into the tasks that are common into machine learning NLP tasks. I really liked that we are taught to training a language classification model without deep learning: it works with less data and is more clear mathematically.

There were more advanced things that I wanted out of this (e.g. of all the metrics to use, which best suits which task) but it was only a 1-2 hour thing.

Well worth the time investment. I will be doing more of these guided projects.

The course was good. I would have given a 5 star review but instructor used a lot of user defined functions which made it a little bit tough to follow. Overall the course was good concentrated on data imbalance, preprocessing strategies.

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

Very nice guided project and useful for my job purposes