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Bewertung und Feedback des Lernenden für Maschinelles Lernen mit Python von IBM

11,810 Bewertungen
2,036 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....


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.

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.

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1876 - 1900 von 2,025 Bewertungen für Maschinelles Lernen mit Python

von Mauricio F O M

26. Feb. 2020

It could be more didatic, with more simple (and ready) codes, and also a step by step code block composition to explain better each part of it.

von Meet S

17. Sep. 2020

No Practical Videos on applying Algorithms. Just explaining algorithms. Kindly add practical videos as well. Else, the course is fantastic 👍👍

von Christie P

5. Aug. 2021

A good course! I think it would have benefitted from more explanation of the code in the videos, rather than just jumping into it in the labs.

von wasim m

9. Mai 2020

The course is pretty descent but it doesn't teach you how to use python it just give documentation and you have to read it and learn from it

von Muhammad Z A

23. Dez. 2019

It is a very brief course, not recommended for computer science students. If you're from a non-cs background it will be fine for a start.

von Rajshekhar D

22. Feb. 2021

The course gives idea about the things to know choose a prediction algorithm, only thing is - the coding part can be stressed upon more.

von Mohit M

1. Juli 2020

It covers only the basics of machine learning not all topics are covered in this course. You will need to learn many things on your own.

von Vibha S

28. Aug. 2020

It would have been helpful to have an explanation of t each of the lines in the code, especially the ones that created the graphs.

von Louis C C I

25. März 2021

I learned a lot but wish the coding was explained better. The final project could have been better if it had more instructions.

von Rohith P R

24. Apr. 2020

Need more clarity while explaining the algorithms. Also need video lectures on the code used in the lab and how the code flows.

von Amal J (

16. Juli 2020

Peer review was problamatic , IBM Watson was tough to grasp could have been more informative .

But the course was really good

von Shankari S

31. Aug. 2020

This course covers the basic of major algorithms. It could be useful if they add more examples and more metrics calculation.


25. März 2021

Why am I not eligible to upgrade to a New version of a specification if it exists and I already paid for the next months??

von Diwakar S

19. Apr. 2020

a very short video on theory part and without practical example. then we directly jump on notebook assignment.

von Raed K

11. Aug. 2020

I felt that it needs to be guided more it was tough to take the final project. But thank you for the course

von Kiran V

4. Sep. 2019

Some concepts should be dealt with more explanation (SVM, recommedor system- collaborative filtering)

von Johan

31. März 2020

The statistical equations can be explained better to enable better application in the real world.

von Andrew P

17. Jan. 2020

Would have preferred more step by step explanations to the process, even if it is in written form

von Dhananjay K

1. Mai 2020

this course quite difficult to complete. please add some normal application in this course.


26. Feb. 2020

Could have been better especially in optimization part and pratical coding in video itself.

von Pablo V V

26. März 2019

I prefer a blackboard videos likek Khan Academy. Instructor looks like a robot. But its ok.

von Sokob C

25. Juli 2020

I prefer to have more lab work to help with maintaining what was covered in each section.

von Mike B

30. Aug. 2021

some errors in the code. Seemed like a marketing tool for IBM vs. a training session.

von Yunqi H

22. Juli 2019

The course contents are okay. However, the labs and final exam are not well designed.

von Mahan M

13. Okt. 2019

very hard compared to the other courses in this data science package, but good info