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Opiniones y comentarios de aprendices correspondientes a Applied Text Mining in Python por parte de Universidad de Míchigan

4.2
stars
2,257 calificaciones
421 revisiones

Acerca del Curso

This course will introduce the learner to text mining and text manipulation basics. The course begins with an understanding of how text is handled by python, the structure of text both to the machine and to humans, and an overview of the nltk framework for manipulating text. The second week focuses on common manipulation needs, including regular expressions (searching for text), cleaning text, and preparing text for use by machine learning processes. The third week will apply basic natural language processing methods to text, and demonstrate how text classification is accomplished. The final week will explore more advanced methods for detecting the topics in documents and grouping them by similarity (topic modelling). This course should be taken after: Introduction to Data Science in Python, Applied Plotting, Charting & Data Representation in Python, and Applied Machine Learning in Python....

Principales revisiones

CC

Aug 27, 2017

Quite challenging but also quite a sense of accomplishment when you finish the course. I learned a lot and think this was the course I preferred of the entire specialization. I highly recommend it!

GK

May 04, 2019

Lectures are very good with a perfect explanation. More than lectures I liked the assignment questions. They are worth doing. You will get to know the basic foundation of text mining. :-)

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226 - 250 de 413 revisiones para Applied Text Mining in Python

por CaitlinYao

Feb 17, 2019

The assignments are much harder than the slides, which means much more self-learning is required.

por Anubhav M

Dec 20, 2019

I will give it a 4 star because of the assignments. The lectures were good but were a bit short.

por Vo C C

Nov 09, 2018

The assignments are a little hard and have some errors, but the overall explanation is awesome.

por Zihao H

Mar 18, 2018

The final assignment is not well worded, and answer for the autograder is too strict.

por Daniel J

Aug 07, 2019

It is quite a dense topic, however the instructor manages to make it much simpler.

por lohith p

Aug 22, 2018

Good Material for the people who wants to start NLP. Thanks a lot for the material

por Kunal c

Aug 10, 2017

There were certain issues with the autograder. But the course content was good

por Aleksey B

Mar 08, 2018

Some assignments were very ambigues - namely part One of final assignment.

por Talha I

Jan 12, 2020

An excellent course for beginners to enter the text mining practically.

por Shashidhar s

Jun 28, 2019

Ultimate course for any one to start with on Data Science using Python.

por Jesús P S

Jan 17, 2018

Hard course, good concepts but needs more visualization of the concepts

por Nicolas B

Aug 26, 2017

Great course, could improve the last week with more practical examples.

por Dinesh D

Dec 15, 2017

Course material was good but week 4 assignment set up is a disaster.

por Roberto L L

Mar 01, 2019

This an excellent course to open a door for NLP, an exciting topic.

por Abe G V T S

Oct 05, 2017

The class was great. However the assignments had a lot of problems.

por CHITRESH K

Apr 29, 2019

Nice introductory course to NLP , give an insight into the topic .

por Samuel O

May 16, 2019

Nice, but first assignment shouldn't be considered here I think

por Rajat B

Aug 24, 2018

The frequent and well thought out exercises are very helpful

por Manuela D

Aug 08, 2019

Well thought, very basic level, but a good starting point.

por S S

Nov 29, 2019

Good course, but not up to date in current scenario

por Ahmad H S

Aug 14, 2019

the course is good, but more practices is required

por Rajendra S

May 09, 2019

Good course. But, I was expecting more depth.

por Michael M

Mar 22, 2019

Great course. Auto graders have some issues.

por Carl W

May 18, 2019

Took me into different areas. Interesting.

por Iurii S

Feb 10, 2018

overall a goods intro into text analysis