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Bewertung und Feedback des Lernenden für Python Project: pillow, tesseract, and opencv von University of Michigan

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1,800 Bewertungen

Über den Kurs

This course will walk you through a hands-on project suitable for a portfolio. You will be introduced to third-party APIs and will be shown how to manipulate images using the Python imaging library (pillow), how to apply optical character recognition to images to recognize text (tesseract and py-tesseract), and how to identify faces in images using the popular opencv library. By the end of the course you will have worked with three different libraries available for Python 3 to create a real-world data-analysis project. The course is best-suited for learners who have taken the first four courses of the Python 3 Programming Specialization. Learners who already have Python programming skills but want to practice with a hands-on, real-world data-analysis project can also benefit from this course. This is the fifth and final course in the Python 3 Programming Specialization....

Top-Bewertungen

PM

23. Juni 2020

This last course is much more challenging than the prior four, but provides a very good launch pad for taking what you've learned and getting you actually using the skills in building Python code.

RF

1. Apr. 2021

This course gave great insight in how to approach a new library which I believe is one of the most powerful skills a programmer can have. Keep up the great work that you guys have been doing.

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151 - 175 von 452 Bewertungen für Python Project: pillow, tesseract, and opencv

von Munshi I H

26. Apr. 2020

This course was a massive jump from the previous ones. No explanatory diagrams, just narration of the contents of the Jupyter notebook.

von Shivam

16. Aug. 2020

How do you expect someone to learn such big and advance modules in 2-3 videos and perform such a big task using all the 3 modules?

von QIYI C

25. Juni 2021

The last course is obviously made mindlessly. And its quality is lower than the others. Making shame on coursera and Michigan

von Yun Y

17. Juni 2020

The teacher in this lecture is too bad. He just reads the scripts line by line!! I don't think I learned something from him.

von Devansh K

31. Mai 2020

As difficult as a course can get with as little as information available to comprehend what exactly have to be done.

von Inchara R

10. Sep. 2020

The instructor doesn't explain it well. Most of the stuff just goes above the head. The final assigment is a joke.

von Michael D

1. Juni 2021

This goes way to fast. I don't like the format and the Jupyter environment makes it much more difficult to learn.

von Deleted A

20. Sep. 2020

Truly a terrible course. YouTube is frankly better at explaining pillow, terreract, and opencv than this module.

von karthik

16. Aug. 2020

As awful as they come. This could have been a wonderful end to a wonderful series, but they did it dirty.

von Deepa M

27. Apr. 2020

simply very time consuming and confusing assignments with no proper explanation about the topics.

von Islam W

4. Sep. 2020

Worst course I have ever taken on Coursera, I don't like the way of teaching at all.

von Задойный А

6. März 2020

Бесполезный курс.

Рассказывают одно, спрашивают другое. Связи между ними нет.

von Shahan A

29. Nov. 2020

poorly explained course. assignment instructions often times not clear.

von Anirudh

1. Aug. 2020

terrible, horrible submission mechanisms, can definitely teach better

von Shoaib M

21. Juli 2022

My final grades are being over ridden again and again.

von Thomas D

22. Juli 2020

Too much focused on image manipulation

von t

25. Juni 2020

Don't waste your money on this course.

von Arrie D W

6. Aug. 2020

Final project submission in text???

von Calvin S

19. Juni 2020

Waste of time. Go learn PhotoShop

von Arash A

28. Sep. 2022

Rude staff. Avoid this course

von Gbenga S

2. Juni 2022

not well explained

von Andrew F

17. Juli 2021

Badly put together

von Romil N

27. Juni 2020

very little detail

von Yue W

27. Juli 2021

a waste of life

von Guoxiaorui L

22. Mai 2020

terrible course!