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

4.7
Sterne
11,464 Bewertungen
1,968 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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1826 - 1850 von 1,956 Bewertungen für Maschinelles Lernen mit Python

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.

von DHAVAL J

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

von Asavari P

26. Feb. 2021

Good learning, but very fast paced. A little more practice assignments would help

von shankar p

28. Mai 2020

Watson Studio was not enough explained. extremely difficult to work on it.

von Jayesh M

27. Jan. 2020

Too complex course, some one will do not understand many things out of it.

von Abdulwahab A

3. Apr. 2020

Was not easy to use the code on my local machine.

I was using spyder IDE

von VRS

24. Juli 2019

Should be an extensive course.The coding part should be explained more.

von Scott M

6. Dez. 2020

Course content was good however the final assignment was confusing.

von Madhurima M

20. Mai 2020

Lab works are not well explained. Otherwise, it's a great course.

von Chen Y

27. März 2019

The lectures that are longer than 5 minutes are hard to tolerate.

von Rangappa N

28. Feb. 2019

Programming works need to be added,Quiz need to graded for free

von MANSOOR N 2

8. Mai 2021

instead of implementing the algorithm more explanation on math

von AbdElrhman M

4. Juli 2020

everything was out of scope it was just a brief of every thing

von Aravind P

12. Juni 2020

Theory part was awesome. But not much of practical knowledge

von Stefan A

6. Juni 2020

Lab is working bad so a lot of time is waisted with waiting.

von Shamik K

2. Jan. 2021

It will help to add more clarity on the final exercise.

von Ramsrinivas A

16. Jan. 2020

Theoretical portion was shallow compared to Lab portion

von Hunter I

20. Apr. 2020

Learned a little bit, want more real world application