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

4.7
Sterne
11,807 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....

Top-Bewertungen

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.

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.

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1851 - 1875 von 2,025 Bewertungen für Maschinelles Lernen mit Python

von Andrei-Ionut D

31. Aug. 2019

Not too many explanations for the assignment, only 2 rows which are supposed to tell us exactly what we have to do. This is why everyone ended up creating very different things, which made it harder when reviewing their work.

von Kevin C

30. Juni 2021

Great course but the final assignment was very fiddly with standard libraries not being uploaded properly in the Watson lab notebook provided. There was no option to use local environments to mitigate this. Hence 3 starts

von Adam J L J H

27. Mai 2020

I think that the Machine Learning Models taught were explained really well In theory to help understand what we are doing. However, there is not much explanation to the syntax of the models which could be elaborated on.

von Artin Y

18. Mai 2020

The course was very intense and it was not clear what was wanted from you(i.e. the scope you're expected to know for the exams)

The quizzes are vastly different from the final project and don't prepare you for it.

von Atharva J

26. März 2020

I got a great understanding of the concepts but, there should have been more videos related to the implementation(coding) part. There was just once use of Third-party tool for every module and nowhere else...

von Julien P

30. Dez. 2020

Content was good, a bit shallow on some aspects (didn't cover many ML techniques, was light on SVM content, etc.). But the quizzes were too easy and didn't properly test technical aspects of the course.

von Mohammed A Q K

27. Sep. 2020

The sections on Clustering and Recommender Systems were difficult to follow. It would have been ideal if they had more in-depth video explanations or if the contents in the lab notebooks was simplified.

von Shreya D

24. Juli 2020

It is a really good course for understanding theories and covers vast topics! The concept were explained very nicely but it lacked proper mathematical working of algorithms or deep intuition about them.

von SAIKAT B

29. Nov. 2019

There is more theory than practical examples and exercises. The final project is nowhere near the actual course syllabus. No ML algorithm is taught in the course. But you ask them in the final project.

von Ashish

30. Juli 2019

The instructor is very good and explanation of concepts is very clear.

But the code explaination is not there so we have to search for each keyword on google. Just wanted to have someone to explain code.

von Rejoy C

11. Juli 2020

Its Ok. From Theoretical aspect, its good as a introduction. But for Python, this is not like introductory. Python programming is just reading materials. There are no videos for explanation.

von Berkay T

28. Okt. 2019

So much stuff skimmed, left unexplained. Explanations are very shallow. This course gives you an idea on what you will have to do to tackle ML learning, but I can't say it fully teaches it.

von Jesús G A S

6. Juni 2019

Good explanations in the video, however the complementary notebooks are lacking in depth explanations. The capstone project is underwhelming, as it only includes classifications algorithms.

von A P

27. Juni 2019

A really good course, until you get to the final project, which is terribly written. It is unclear what the actual objectives of the final task are supposed to be, and the English is poor.

von Joann L

29. März 2020

Really interesting subject, but the course material was just insufficient for beginners. The new codes were not explained. Out of all the other courses, I learned the least in this one.

von SAI K P

27. Apr. 2019

the course content is good, the course exercises are great. But there is no responsible human TA monitoring the discussion forum. So if you get stuck in a problem, then good luck to you.

von Christina W

28. Apr. 2020

Assumes a lot of background knowledge around Python. Not a great introductory course for someone with no experience with machine learning, AI, and limited experience with coding.

von SHALIN S

21. Juni 2021

Contents in labs were just there without explicitly explained in detail. Few codes were written without proper understanding. Overall for understanding, it was good course.

von Omid Z

23. Apr. 2020

The course has some valuable pieces of information to whom have not any background about Python and machine learning. Highly recommended for beginners, not professionals!!!

von Varun V

13. Feb. 2019

This course is definitely not for starters. People should have good knowledge before enrolling in this course and then this can be taken as an excellent refreshing course.

von Chinelo o

13. März 2020

The Labs and assignment had poor instructions that were not easy to interpret. Some of the videos need to be reviewed as they do not match up with the transcribed texts.

von Nicholas S

25. März 2021

A lot of theory, not a lot of examples. The final project had lots of typos, pre-written code needs updates, questions need some clarification. Theory was fun though.

von Sean S

29. Aug. 2020

I feel like the course started in the correct direction but then moved very quickly over some complex issues (i.e the programming behind building the ML models)

von Rana F

15. Sep. 2020

The explanation for each algorithm was good. However, the labs and the last assignment does not really explain what to do and it is all over the place.

von Jonathan M

27. März 2019

Loved the assignments out here. They are awesome. Anybody who knows a little python and dataframe manipulation should be comfortable with this course.