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

4.7
Sterne
13,621 Bewertungen

Über den Kurs

Get ready to dive into the world of Machine Learning (ML) by using Python! This course is for you whether you want to advance your Data Science career or get started in Machine Learning and Deep Learning. This course will begin with a gentle introduction to Machine Learning and what it is, with topics like supervised vs unsupervised learning, linear & non-linear regression, simple regression and more. You will then dive into classification techniques using different classification algorithms, namely K-Nearest Neighbors (KNN), decision trees, and Logistic Regression. You’ll also learn about the importance and different types of clustering such as k-means, hierarchical clustering, and DBSCAN. With all the many concepts you will learn, a big emphasis will be placed on hands-on learning. You will work with Python libraries like SciPy and scikit-learn and apply your knowledge through labs. In the final project you will demonstrate your skills by building, evaluating and comparing several Machine Learning models using different algorithms. By the end of this course, you will have job ready skills to add to your resume and a certificate in machine learning to prove your competency....

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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2176 - 2200 von 2,376 Bewertungen für Maschinelles Lernen mit Python

von Enrique H G

2. Sep. 2022

It's good course if you have not heard anything about Machine Learning, however I would like that teach important techniques such as neural networks, PCA because they are used many times in different jobs and studies.

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 Fadhil R M

30. Nov. 2022

not deep enough, many algorithm and model evaluation approaches that wasn't include in this course. But I think for beginner who just get into a Data Science or ML things, this is a good modules

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 Alexander 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 Raul R D D L

27. Jan. 2022

I understand that you want to cover many methods in this course, but you see so much that it is confusing, difficult to assimilate. I think this is the least good of the entire series.

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 Jianshi L

5. Mai 2022

Generally good course with essential regression, classification and clustering algorithms. Some snippets of code are a little outdated and could be replaced by neater ones.

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.