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

4.2
étoiles
3,731 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

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.

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!

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701 - 719 sur 719 Avis pour Applied Text Mining in Python

par Stanley C

15 mai 2019

Assignment grading is way too rigid and not reflective of real world issues. It can be very frustrating.

par carol a

23 oct. 2019

Instructions for assignments are vague and incorrect. Instructor was hard to follow during lecture.

par Sebastian

30 avr. 2019

The video lectures are good, but there are many issues with the Jupyter notebook assignments.

par Francisco H

8 août 2021

There were some errors in the autograders and sometimes lack of response from mentors.

par Michal K

16 déc. 2021

First weeks of the course are great, but then it lacks in programming exercises

par Alexandros B

4 oct. 2017

poor organization of the lesson and many many mistakes during assignments

par Alex M

27 août 2017

Instructors did a poor job of preparing students for the assignments.

par Ji S

15 avr. 2018

Too coarse, quality worse than other courses in this specialization.

par Abhishek J

10 oct. 2020

it was so basic ! i was expecting some more detailed course on nlp

par Steven P

19 févr. 2021

Very basic, but clear - just lacks the depth i was expecting

par L C

22 nov. 2020

I found the course quite dry and hated the auto grader...

par naive666

29 juin 2019

Far from expectation, feel upset

par Rodrigo L

1 oct. 2021

very poor course

par christopher h

18 nov. 2017

Compared to other courses in the Applied Machine Learning focus, this is so far the worst. The content and quality are poor. The lecturer is too slow and fails to prepare the student for the assignments. First week is very basic and ends with an assignment in regex. There's plenty of regex resources out there. 2nd week moves forward but finalizes in an assignment that involves concepts not covered in the lecture (ngrams). Weeks 3 and 4 contain too many errors in the lecture and autograder (use of AUC, finding minimum of a sparse array). UofM should rebuild this course.

par Tomás M

2 déc. 2022

The course is just an absolute random collection of videos poorly explained, where no one is explaining why things are done in a particular way, with a poorly selected somewhat random APIs in NLP.

Very little practice and the assignments have basically nothing to do with what was "explained" in the videos. Plus, the discussion forum is absolutely full of dust and no one replies for the last 4 years.

It is really such a pitty that Michigan doesn't put any effort in keeping this up, but still offers something that is completely useless for students.

par Cande P

2 déc. 2022

This course is not meant for LEARNING Text Mining, Assignments do not address contents of the lectures, many instructions are not clear, feedback on assignments is very scarse, si one does not know where they are making a mistake, and Discussion Forums HAVE NOT BEEN RESPONDED IN OVER 4 YEARS. It is a shame that coursera leaves some courses from certain universities to just sit there with no one answering forums or aiding students' learning process.

par Maximilian W

14 févr. 2020

Serious sub-par course in the specialisation. The lecturer is good, but sadly the assignments are terrible. Thus the reinforcement - and reliability to problem solving - of the content is poor.

Given the high standard of the first three modules in this specialisation, this is really a shame. I would urge learners to consider whether there is much point in doing this course (other than to get the specialisation completed).

par Rafi N

29 nov. 2022

the worst course I had.

The assigments are really bad.

They are not teach  you how to do text mining  .  You spent hours for nothing   

most of the studet take the answers from the web (google the name of the course)