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Avis et commentaires pour d'étudiants pour Applied Text Mining in Python par Université du Michigan

4.2
étoiles
3,660 évaluations

À propos du cours

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....

Meilleurs avis

CC

26 août 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!

JR

4 déc. 2020

Excellent course to get started with text mining and NLP with Python. The course goes over the most essential elements involved with dealing with free text. Definitely worth the time I spent on it.

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151 - 175 sur 705 Avis pour Applied Text Mining in Python

par Simon

24 déc. 2017

If you want to challenge this course and learn a lot, HIGHLY RECOMMENDED!!!

par Sébastien M

21 août 2017

Very good course, a lot of articles (most optional) but really interesting

par Nikita D

21 août 2020

the course is very good!

I highly recommend you to enroll and complete it

par phaneendrababu g

8 mars 2019

Understood Machine Learning as well. Nice topics and clear explanation.

par NITISH R

24 sept. 2018

Wonderful course for starting Text Analytics and practicing the concept

par Aneek A

6 nov. 2017

Covers a lot of things in breath, but it could have been a bit longer!!

par David T

28 nov. 2020

It was a pretty good class as an intro to Natural Language Processing.

par Sean D

20 juin 2019

This was a good course. Far superior to their machine learning course.

par Cristian C J M

21 déc. 2020

Its a hard course,maybe the last assigment wasn't as clear as i like.

par Charles L

4 févr. 2019

This course was outstanding - excellent lectures, notes and examples!

par 谢仑辰

9 mars 2018

Great course! I learned the basic concepts and skills of text mining.

par xinyi m

15 janv. 2021

I like this course the best among all courses in this specification.

par aviyan k

19 mai 2020

Instructor was very good in explaining and understanding the topics.

par Atilio T

9 mars 2020

Excellent course as an introduction to text processing using Python.

par Jan P

24 juil. 2018

Nice course - but I found the assignment of week 1 a little to hard

par Haozhe ( X

10 nov. 2020

Awesome course. That's what it matters for data science enthusiast

par Dr S K

8 janv. 2019

Interesting course, nicely delivered with a lot of key information

par Tatek E

23 mars 2020

Excellent presentation, exercise and reading materials. Thank you

par AASHIMA B

7 mai 2019

Got to learn a lot. Would recommend it to others for text mining.

par UJJAWAL S

16 août 2020

The best course to learn applied text mining and basics of NLP

par Ariana L

4 mai 2020

The course is very helpful and the instruction is really good!

par Amir K

14 janv. 2021

Content is very well managed , self explanatory and relevant.

par Vinit K

13 mai 2020

Great learning experience! Nice lectures and assignments.....

par Wai Y P S

22 juin 2021

Thanks you so much University of Michigan for Great course

par Jun W

12 août 2018

V. G. is a good instructor. His course is very interesting.