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

13,631 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....



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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1776 - 1800 von 2,376 Bewertungen für Maschinelles Lernen mit Python

von Rahul C

18. Juni 2020

A good course to start your AI journey with python and scikit learn. Four stars because code should be explained in a video, but it has an advantage that when you search something you always discover something new.

von Rohan B

25. Juli 2019

This course provides excellent practical implemented datasets which gets you started but a person willing to do this course must have to learn various things on his own as well to completely understand this course.

von Tim d Z

12. März 2020

Videos contain great content, are very clear and to the point. However, the malfunctioning Lab environments really took the speed (and fun) out of the course. Overall it was an interesting and valuable course.

von Ameer M S

24. März 2019

if only financial aid was available for this course it would have been awesome, the content is pretty good, but the labs are pretty confusing as I haven't been able to figure how to register them as completed.

von Diego I

18. März 2020

Es un curso muy completo que cubre muy bien los fundamentos básicos sobre machine Learning. Al final de este curso tendrás una noción de que algoritmos son útiles para cada una de las necesidades mas comunes.

von Luis H

24. Juni 2019

Las explicaciones en los videos son bastante buenas, aunque las actividades no permiten comprender del todo lo que se debe realizar para el examen final, cuesta mucho trabajo desarrollar la última entrega.

von Surya P S e

26. Juli 2020

The course was very concise and very helpful for people who want to learn ML for a career. It would have been even better if there were some OPTIONAL readings so that we can also learn the theory part.

von Sriram S

4. Juli 2020

This course is suitable for beginners. One can get hand-on experience on creating machine learning model and basic working knowledge of some classical machine learning algorithms. Overall, good course.

von Sudipan B

23. Mai 2020

A very good and informative one comes with online lab service. But the price for earning a certificate in this course is bit high that's why i'm giving it a 4 star. But the overall experience is 4.5/5.

von Shiva p

26. Juli 2020

Great course! One idea for improvement > Some of the comments in the Clustering and Recommender systems labs are hard to understand. Maybe you can rephrase / add more text to make it more intuitive.

von Cherif H W A

1. Jan. 2020

could be split in two courses to be given enough focus. it was very condensed and needed more time and explanation in each section. The instructor was very good but more details would have been nice

von Tural G

25. Sep. 2020

Excellent course for beginners to data science field. Would have been better if the final project also included flavor of other ML methods such as Regression, Clustering or Recommender Systems.


23. März 2021

The theoretical part is well done and very interesting, but at the end of the course the explanation regarding the use of Watson Studio for the exercise and the final test is quite misleading.

von CHEN X

25. Juni 2020

This course walks us through the fundamentals of machine learning methods. The capstone project is very useful for those who have previous knowledge of machine learning and Python programming.

von Ashraf S

7. Okt. 2019

I think PCA would've been a very useful clustering method to teach. AUC are a great way to measure the effectiveness of a logistic regression algorithm, it would've been useful to learn here.

von aaditya r

5. Aug. 2019

Very nice course with very less time .

But i though there should be some mathematical explanation in detail what i observed there is lack of mathematical explanation.. overall course is good

von Pierre P

24. März 2020

That course was very instructive and provides a very good start in the field. The instructors could dive a little bit into more into technical details, or give more examples of algorithm.

von Abhishek b

30. Dez. 2019

its a great journey along with coursera family and very thankful of sponsering such good course.i have enjoyed alot and learning so much from you.its my pleasure to i done this course!

von Jose L B P

27. Apr. 2022

Great course if you have a previous knowledge in ML and python, because there's not much deepening into every subject. Useful labs to understand the coding, but with not much difficulty

von Ed B

27. März 2020

Good course to introduce us to the fundamentals of ML. Some of the routines used are becoming deprecated in the notebooks, and there are quite some spelling errors within the notebooks.

von James S

19. Nov. 2021

The modules and in particular the Labs are good background, pay attention to the optional labs because you are going to need it to complete the final project! :) really good learning

von Francesco C

28. Okt. 2021

course is a good introduction for people who know 0 about ML (like me). I highly suggest to learn a bit of Pandas, Numpy and Scikit before taking the course, it's highly advantageous.

von Stefan W

22. Jan. 2020

Great content, peer review process can be a bit painful if someone has submitted a messy, hard-to-trace notebook with a lot of redundant / incorrect cells obfuscating the work.

von Nur C N

20. Juli 2019

Quite good in explanation and structured. Can be better by providing more sample study case and comment in each sample code to provide more explanation. Nice course!!! Thanks.

von Armen M

15. Apr. 2020

Good course, could have been even better if the coding part was explained in the videos. Instead, it was left to figure out yourself. Still, I appreciate the video lectures.