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Kursteilnehmer-Bewertung und -Feedback für Maschinelles Lernen mit Python von IBM

4.7
Sterne
11,458 Bewertungen
1,966 Bewertungen

Über den Kurs

This course dives into the basics of machine learning using an approachable, and well-known programming language, Python. In this course, we will be reviewing two main components: First, you will be learning about the purpose of Machine Learning and where it applies to the real world. Second, you will get a general overview of Machine Learning topics such as supervised vs unsupervised learning, model evaluation, and Machine Learning algorithms. In this course, you practice with real-life examples of Machine learning and see how it affects society in ways you may not have guessed! By just putting in a few hours a week for the next few weeks, this is what you’ll get. 1) New skills to add to your resume, such as regression, classification, clustering, sci-kit learn and SciPy 2) New projects that you can add to your portfolio, including cancer detection, predicting economic trends, predicting customer churn, recommendation engines, and many more. 3) And a certificate in machine learning to prove your competency, and share it anywhere you like online or offline, such as LinkedIn profiles and social media. If you choose to take this course and earn the Coursera course certificate, you will also earn an IBM digital badge upon successful completion of the course....

Top-Bewertungen

FO
8. Okt. 2020

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.

RC
6. Feb. 2019

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.

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1476 - 1500 von 1,955 Bewertungen für Maschinelles Lernen mit Python

von Armen M

15. Apr. 2020

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

25. März 2020

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

22. Aug. 2020

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

21. Nov. 2020

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

7. Mai 2020

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

27. Juli 2019

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

31. Jan. 2019

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

30. Dez. 2020

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

3. Feb. 2020

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

28. Apr. 2020

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

6. Nov. 2019

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

14. Dez. 2020

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

1. Okt. 2019

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

19. Feb. 2019

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

28. Juli 2020

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

17. März 2020

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

7. Juli 2020

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

17. Mai 2020

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

13. Apr. 2020

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

17. März 2020

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

18. Jan. 2021

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

19. Okt. 2020

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

6. März 2019

Pros. Good for running code in Jupiter Notebook environment.

Cons. Language Support only English (others are few), and Screen sub overlays presentation text.

von ROHIT K S

10. März 2019

Excellent course . Concepts of machine learning algorithm were explained clearly and easily.

The interface with IBM notebook could have been much smoother ,

von VARUN S

25. Okt. 2019

Would like to say that it would be of great help if we had some more practice on coding. But overall a wonderful course and helped me learn a lot. Thanks!