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

4.5
звезд
Оценки: 148
Рецензии: 29

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

EC
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.

AK
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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1–25 из 29 отзывов о курсе Language Classification with Naive Bayes in Python

автор: Lakshit A

9 мая 2020 г.

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.

автор: Eddie C

10 авг. 2020 г.

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

автор: Atharva K

25 июля 2020 г.

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

автор: Chintoo K

31 июля 2020 г.

Nice explanation by the instructor throughout the project :)

автор: Yulius D P

31 мая 2020 г.

a great explanation from the instructor

автор: Grace J

3 мая 2020 г.

An excellent course, I recommend it.

автор: Mayank S

28 апр. 2020 г.

Good Course.

Well Explained

автор: Try E

1 сент. 2020 г.

This courses is very good

автор: Ashwin P

11 мая 2020 г.

excellent Naive Bayes

автор: Hafiz M S H

1 июля 2020 г.

The course is good

автор: PRATIK K C

6 сент. 2020 г.

Good instructor.

автор: XAVIER S M

2 июня 2020 г.

Very Helpful !

автор: FRANSESCO M

26 июня 2020 г.

Great Project

автор: SIMRAN L

30 авг. 2020 г.

nice course

автор: Badreddine D

15 июня 2020 г.

Good course

автор: Doss D

2 июля 2020 г.

Thank you

автор: Swapna V

2 июля 2020 г.

good one

автор: Kamlesh C

28 июля 2020 г.

Thanks

автор: tale p

26 июня 2020 г.

good

автор: p s

25 июня 2020 г.

Good

автор: Rifat R

13 июня 2020 г.

Nice

автор: Stephen F

23 авг. 2020 г.

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.

автор: Anantharaman K

30 июля 2020 г.

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.

автор: Veeramanickam M

4 мая 2020 г.

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

автор: Francisco R P d l R

24 июня 2020 г.

Very nice guided project and useful for my job purposes