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學生對 密歇根大学 提供的 Applied Text Mining in Python 的評價和反饋

4.3
3,456 個評分
662 條評論

課程概述

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....

熱門審閱

CC
2017年8月26日

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
2020年12月4日

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.

篩選依據:

526 - Applied Text Mining in Python 的 550 個評論(共 654 個)

創建者 Rishi S

2020年12月26日

The content was not covered in depth. Theoretical concepts were very less as compared to the other courses.

創建者 Shubhraneel P

2020年9月16日

The course content was good but the versions are not updated wasting a lot of time in assignments.

創建者 Vijay C S

2017年10月24日

The course is pitched at a introductory level. I would have like to have more practical tutorials.

創建者 Andre N

2019年5月11日

Good course, however lots of problems with assignment notebooks not working the way they should

創建者 Alexander W

2019年9月3日

This course is interesting and about a very important topic, but it urgently needs an update!

創建者 Tsz W K

2017年10月22日

Less organised to the previous three courses. However, it still introduces useful techniques.

創建者 Ling G

2017年8月31日

I like the lecture very much. If the lecture can cover more example codes it iwll be greater.

創建者 Thomas P

2017年8月27日

Good course content, but no in-depth discussion of topics. Assignments are also very buggy.

創建者 Paula C R

2017年8月4日

I think the course was superficial and could be better explored. It's good start, though.

創建者 Josh C

2019年3月14日

The contents are good, but the online autograding system really need to be improved.

創建者 Kartikey S

2019年1月5日

Some topics are hastily explained and maybe more content was needed in this course.

創建者 Stephane C

2018年12月9日

Week3 and 4. Too much of strange bugs with the auto grader. Not enougth examples...

創建者 Juan V P

2019年7月29日

I think the course need a better speaker and more notebook hours to be enhanced.

創建者 Maha Y

2019年1月14日

Need to show the slides for longer in the videos. But good learning experience.

創建者 Qian H

2017年10月3日

The homework is quite not related to the lecture. And it is so hard to finish.

創建者 Eric S

2018年9月27日

Most assigmets were not in the notes. Still everyhting seems really usefull.

創建者 Raivis J

2018年8月11日

Graded assignments need more grounding in practically applicable situations.

創建者 George M J

2018年11月15日

Good content.

Had to spend way too much time fighting the auto-grader.

創建者 Zhizhong S

2021年1月7日

The course is not well organized comparing with the other four.

創建者 CARNEMOLLA B

2019年7月8日

Contenuti troppo superficiali, gli assignment troppo specifici

創建者 Gennadiy D

2017年10月21日

I will be better to provide python code in a separate notebook

創建者 Ibadurrahman

2020年5月25日

the assignment was painful (the question is not very clear)

創建者 Benjamin C

2020年1月2日

Good course overall but necessary upadates are lacking.

創建者 SHIVANGI N

2020年9月10日

More of practical implementation should be included