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

4.7
Sterne
11,640 Bewertungen
1,999 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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1576 - 1600 von 1,990 Bewertungen für Maschinelles Lernen mit Python

von Brannon C

21. Juni 2020

Great overview for many of the key Machine Learning algorithm types using in Python for Data Science.

von ABU H M A R

5. Jan. 2020

Great course for the fundamentals of different machine learning techniques. Enjoyed this wuite a kot

von Manal C

27. Nov. 2019

Recommending more emphasis on the coding behind the algorithm (reminders / links to references ...)

von Matthew A

14. Juni 2019

This was a good course - but still could use more hands-on exercises to go along with the lectures.

von 018 A D

19. Mai 2020

it was a nice course but there must be a little explanation video of the codes written in the labs

von Brian G

17. Juni 2019

Would've liked the labs to be a little less demo and more DIY, but otherwise outstanding material.

von Mitchell H

15. Mai 2020

Covers all the basics of sklearn library. Would have been nice to have more assignments/practice.

von Joseph L

24. Juli 2019

I am enjoying the course so far. Very well explained with a pretty comprehensive course material.

von nilay m

11. März 2019

it was a nice course giving basics of every ML algorithm and i am all in all very much benefited.

von Saptashwa B

4. März 2019

The course is pretty good, I just hope the printing mistakes in the slides will be corrected soon

von ADEJOKUN A

27. Apr. 2020

The underlying concepts of the various algorithms were broken down and delivered with simplicity

von Bala M

17. Sep. 2019

Excellent course explaining all the essential details to kick of the ML journey using Python.

von Neil C

29. Aug. 2020

It was a good course but the final exam could do with more structure around what is expected

von Urs H

29. Juni 2019

Comprehensive, good to understand, minor errors in the description of the final assignḿent.

von Ciniso M

25. Mai 2021

This course is very fruitful and it's instructors are awesome. Thank you Coursera and IBM.

von Mitanshi K

30. Apr. 2020

Great for beginners. Explains theoretical concepts well but lags on the coding part of it.

von Vinit K S

8. Apr. 2020

It is such a vast topic, It would have really been great if there were few more exercises.

von Daniel J B O

26. Mai 2020

A little bit to basic for someone who studied the topics in the past but a good refresher

von Rubén G Z

29. Mai 2020

I recommend including more examples and documentation of the metrics in the algorithms.

von Aldy P S

29. Mai 2020

This course didn't help Much for a beginner. But overall worth to try. Thanks Coursera!

von Stefanos S

18. Dez. 2020

If the last assignment was a bit easier regarding the Hypothesis Testing would be 5/5.

von Sudhir S

2. Dez. 2018

More videos would have helped to understand concepts of subject better to apply in lab

von Robert F

2. Aug. 2020

The final test portion was a little rough. Finally got the test to work successfully.

von anas m r

2. Aug. 2020

A great introduction for ML, but you have to exert effort to understand the lab codes

von Meijuan Z

22. März 2020

Should include more details of ML algorithm, but is nice to people who are new to ML.