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

11,646 Bewertungen
2,001 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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1626 - 1650 von 1,992 Bewertungen für Maschinelles Lernen mit Python

von David Z

7. Mai 2020

Could be more beginner friendly, and explain further, but great course!

von Apurv A S

30. März 2020

Lectures are good but there are not much hands on Practice Assignments.

von Jince P G

30. Nov. 2019

Great course focusing on the fundamental concepts of machine learning.


10. Juli 2020

Very properly Explained, will love to learn more from the instructor.

von Bimal T

3. Juni 2020

The Course Content is good, but the code is not explained in details.

von Thanh K ( V

26. Apr. 2020

most of the codes are too hard to follow, need more detail narrations

von Dorjee G

11. Nov. 2019

Great course, great instructor. I enjoyed doing the Lab works.


von Mahendra S

21. Juli 2019

Contents are very useful and informative. A good start for beginners.

von Mujeebullah Y

23. Okt. 2019

Good course. However, they need to explain the code more in details.

von Alexandre N

21. Dez. 2020

Recommendation systems could receive a peer-reviewed task as well.

von Hemanth A

6. Juli 2020

A good platform for users curious about the various ML techniques.

von Dhruv C

10. Mai 2020

Marks were deducted for no reason in the peer graded assignment .

von Alexios M

13. März 2021

Well-structured course. It drives you stop-by-step in most cases.

von mohd z

22. Juni 2021

Awesome course with excellent content and Project based learning

von Ayushman S

6. Apr. 2020

Some concepts were hurried. But jypyter notebooks are very good.

von Abhinav K

2. März 2019

A complete package for those who want to start from the stratch

von Subash L

26. Juni 2021

Over all good. The lab results could be explained a bit better


11. Feb. 2020

It is best for beginners for introduction to machine learning.

von Prakash R

10. Feb. 2019

This course helps me to get understand about Machine Learning.

von Ashis G

27. Juni 2020

A little more hands on training on the videos were necessary.

von Erfan H

8. Apr. 2020

it was a good course for learning the usages of python in ML

von Sathishkumar

14. März 2020

It is good one,I learned basic concepts of Ml in this course

von Lakshmi m s

16. Mai 2020

this is best course for learning machine learning in python

von Ana C

31. Juli 2019

I missed algorithms like random forest and ensemble Methods

von Shruti j

6. Okt. 2020

must take thiis course if you want to learn ML thoroughly.