Kursteilnehmer-Bewertung und -Feedback für Maschinelles Lernen mit Python von IBM
Über den Kurs
Top-Bewertungen
The course was highly informative and very well presented. It was very easier to follow. Many complicated concepts were clearly explained. It improved my confidence with respect to programming skills.
I'm extremely excited with what I have learnt so far. As a newbie in Machine Learning, the exposure gained will serve as the much needed foundation to delve into its application to real life problems.
1501 - 1525 von 1,988 Bewertungen für Maschinelles Lernen mit Python
von Stefan W
•Great content, peer review process can be a bit painful if someone has submitted a messy, hard-to-trace notebook with a lot of redundant / incorrect cells obfuscating the work.
von Nur C N
•Quite good in explanation and structured. Can be better by providing more sample study case and comment in each sample code to provide more explanation. Nice course!!! Thanks.
von Armen M
•Good course, could have been even better if the coding part was explained in the videos. Instead, it was left to figure out yourself. Still, I appreciate the video lectures.
von Oliver E A B
•The course has good explanations of the statistical background and is very practical, but it is unclear how good is the final project, you did it wrong? You will never know.
von Hui Y O
•Easy to understand, step-by-step. The only downside is that there are some bugs found in the lab which cannot be fixed, even many people have already conveyed to the admin.
von André M
•The content of the course is great and it's very instructive. Although I think that the certificate approval system should be harder and more inspected by the instructors.
von Aatmik J
•I think IBM Watson site has been updated after this course was last updated. Therefore, there are some differences in the final project guidance videos and actual website.
von Shubham S
•A really great course with loads of hands on coding experience. But some concepts need to be explained more deeply. Really happy to complete this & receive a certificate !
von Liam M
•Good stuff. Useful final project. More in depth research required if you want to actually learn how these algorithms work though - outside the scope of the course I guess.
von ERICK I M E
•Good course. I think the final project could be more interesting even but the peer review has to be optimized such that it avoids unfair ratings, either for good or bad.
von Carolina B
•I think more practice exercise with more variety in difficulty would be really help - as well as links to resources to practice key items (like nesting loops in python)
von Pratibha S
•It is one of the best courses for understanding the basics of Machine Learning. Moreover, it also includes hands on experience with different classifiers on notebook.
von Mihaly K
•There should be assignments every week, not just quizzes. Too easy to pass this way, not enough practice, at least if you already know the basics of machine learning.
von Brian B
•Great hands-on practice with many different modeling methods. A fun final project too. Just has a few technical and typo glitches that keep it from a perfect score.
von Sucheta
•Nicely designed course on ML. All labs are very well structured which help to understand the concepts. Final project is a good test of the lessons learnt in course.
von Abdul A A
•A good and detailed course on machine learning.A very good course for beginners to understand machine learning.
The final assignment was very insightful and helpful.
von Nabeel A
•Loved the way of teaching, the course was worthy and I boosted my skills but the content was not too vast which I was expecting , very easy to complete the course
von Raghunath
•Good theoretical and mathematical explanation . But the python programming was not explained . We should learn them by our own by reading in the tools in coursera
von Joseph J M
•3.5 stars. Serves its purpose. Skims over much of the important mathematical details. No coding demonstrations other than what you see in the notebooks provided.
von M. S P
•The course offers short videos that explains machine learning concisely is quite efficient, and also provides a platform to learners to practice in lab sections.
von Ana D
•I found the quality of teaching to be of good standard, however setting up IBM Watson studio and creating a project was very inconvenient and took a lot of time.
von Satyapriya R
•Well designed course for clear understanding of ML algorithms. Practical Labs gives you hands on experience to try out various algorithms. A very helpful course.
von Snow P
•Good part: This course provide a lot of concrete designed materials.
Not very good part: the content of videos are too simple, without any theoretical analysis.
von Tichaona M
•This course is great but one needs more time to read through other information sources. An in-depth understanding is critical to get the bigger picture of use.
von BYOUNG J Y
•Pros. Good for running code in Jupiter Notebook environment.
ㄴ
Cons. Language Support only English (others are few), and Screen sub overlays presentation text.
Coursera Footer
