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Вернуться к Applied Text Mining in Python

Отзывы учащихся о курсе Applied Text Mining in Python от партнера Мичиганский университет

Оценки: 3,655

О курсе

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....

Лучшие рецензии


4 дек. 2020 г.

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.


26 авг. 2017 г.

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!

Фильтр по:

151–175 из 705 отзывов о курсе Applied Text Mining in Python

автор: Simon

24 дек. 2017 г.

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

автор: Sébastien M

21 авг. 2017 г.

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

автор: Nikita D

21 авг. 2020 г.

the course is very good!

I highly recommend you to enroll and complete it

автор: phaneendrababu g

8 мар. 2019 г.

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

автор: NITISH R

24 сент. 2018 г.

Wonderful course for starting Text Analytics and practicing the concept

автор: Aneek A

6 нояб. 2017 г.

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

автор: David T

28 нояб. 2020 г.

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

автор: Sean D

20 июня 2019 г.

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

автор: Cristian C J M

21 дек. 2020 г.

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

автор: Charles L

4 февр. 2019 г.

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

автор: 谢仑辰

9 мар. 2018 г.

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

автор: xinyi m

15 янв. 2021 г.

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

автор: aviyan k

19 мая 2020 г.

Instructor was very good in explaining and understanding the topics.

автор: Atilio T

9 мар. 2020 г.

Excellent course as an introduction to text processing using Python.

автор: Jan P

24 июля 2018 г.

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

автор: Haozhe ( X

10 нояб. 2020 г.

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

автор: Dr S K

8 янв. 2019 г.

Interesting course, nicely delivered with a lot of key information

автор: Tatek E

23 мар. 2020 г.

Excellent presentation, exercise and reading materials. Thank you

автор: AASHIMA B

7 мая 2019 г.

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

автор: UJJAWAL S

16 авг. 2020 г.

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

автор: Ariana L

4 мая 2020 г.

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

автор: Amir K

14 янв. 2021 г.

Content is very well managed , self explanatory and relevant.

автор: Vinit K

13 мая 2020 г.

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

автор: Wai Y P S

22 июня 2021 г.

Thanks you so much University of Michigan for Great course

автор: Jun W

12 авг. 2018 г.

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