Chevron Left
Volver a Language Classification with Naive Bayes in Python

Opiniones y comentarios de aprendices correspondientes a Language Classification with Naive Bayes in Python por parte de Coursera Project Network

4.5
estrellas
150 calificaciones

Acerca del Curso

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....

Principales reseñas

EC

9 de ago. de 2020

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

AK

24 de jul. de 2020

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

Filtrar por:

1 - 25 de 29 revisiones para Language Classification with Naive Bayes in Python

por Lakshit A

•

9 de may. de 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.

por TUSHAR S

•

2 de nov. de 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.

por Eddie C

•

10 de ago. de 2020

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

por Atharva K

•

25 de jul. de 2020

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

por Chintoo K

•

31 de jul. de 2020

Nice explanation by the instructor throughout the project :)

por Yulius D P

•

31 de may. de 2020

a great explanation from the instructor

por Grace J

•

3 de may. de 2020

An excellent course, I recommend it.

por Mayank S

•

28 de abr. de 2020

Good Course.

Well Explained

por Aynura E

•

1 de sep. de 2020

This courses is very good

por Ashwin P

•

11 de may. de 2020

excellent Naive Bayes

por Hafiz M S H

•

1 de jul. de 2020

The course is good

por PRATIK K C

•

6 de sep. de 2020

Good instructor.

por XAVIER S M

•

2 de jun. de 2020

Very Helpful !

por FRANSESCO M

•

26 de jun. de 2020

Great Project

por SIMRAN L

•

30 de ago. de 2020

nice course

por Badreddine D

•

15 de jun. de 2020

Good course

por Doss D

•

2 de jul. de 2020

Thank you

por Swapna V

•

2 de jul. de 2020

good one

por Kamlesh C

•

28 de jul. de 2020

Thanks

por tale p

•

26 de jun. de 2020

good

por p s

•

25 de jun. de 2020

Good

por Rifat R

•

13 de jun. de 2020

Nice

por Stephen F

•

23 de ago. de 2020

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.

por Anantharaman K

•

30 de jul. de 2020

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.

por Veeramanickam M

•

4 de may. de 2020

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