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

4.7
Sterne
11,656 Bewertungen
2,005 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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1551 - 1575 von 1,999 Bewertungen für Maschinelles Lernen mit Python

von Roman S

9. Juni 2020

Course content and presentation is really good! The only thing i would add is the tuning of hyperparamaters which makes ML what it is.

von SUSHANT B P

3. Mai 2020

Great course but there should be videos where there is need of explanation on code as well, codes given are very good and covers basic

von Mallangi P R

27. Jan. 2020

I really liked the course content, way of teaching and assignments.

This will definitely help a beginner in data analysis to start with

von Beatriz E P

28. Jan. 2021

Very nice course!! You learn a lot more of the theory than the practice part, but the concepts are well explained and I learned a lot

von manasa k

22. Feb. 2021

A good course to quickly learn important aspects of ML with Python. The assignments and final exam is also very useful for learning.

von fang f

11. Juli 2020

quite good at the explanation and un-graded exercises.

But the knowledge could be deeper and more about parameters in Sklearn APIs.

von Ankit M

25. Juli 2019

Goodone for anyone who's a beginner in this field. But I personally suggest you to take the Data Analysis with Python course first.

von Raffaele N

13. Sep. 2019

Although not extremely detailed in the model optimisation part of the work, it is a very useful way to get started on applied ML.

von Sadanand U

2. Mai 2019

Gives a good overview of regression and classification algorithms . It could have been expanded to other ML algorithms as well.

von Mohitkumar R

12. Jan. 2019

Great course, SO much information and great excercise, In Captone project project guidance need improve,otherwise great course

von Katja M

22. Apr. 2021

It was a hard class - the concepts made sense but it is hard to figure out how to use them without more programming examples.

von Baptiste M

17. Nov. 2019

Very complete course yet full of typos even in the datasets. Lots of information were redundant but an overall great value.

von Eric H

20. Dez. 2018

After taking Andrew Ng's ML course, I still learned some new things here, but this course is rather shallow in comparison.

von Mitchell K

25. Mai 2021

This course was a great refresher from my data mining course in college, but I think some topics need to be expanded upon

von raviteja g

21. Nov. 2019

A pretty good course to get familiar with supervised learning. Topics on unsupervised learning were moderately explained.

von Stephane A

29. Apr. 2020

I learned a lot and I understood the different clustering algorithms to organize the data like DBSCAN, K-Means and more.

von Ravindra D

19. Nov. 2019

This course gives an introduction to machine learning by giving brief about algorightms such as KNN, Random forest etc.

von Ankit M

15. März 2019

Course study material is excellently organized and presented in crystal clear way, which makes it easy to understand.

von Vasiliki T

12. Dez. 2020

A more demanding peer graded assignment would be an interesting thought for the future! :) thanking you in advance!

von Daksh J

19. Mai 2020

Nice and easy to learn for basic of machine learning.

Concept are explain in nice way with the help of good example

von Chandrakanth R

18. Mai 2019

It was exciting and tough course. Lots of materials were covered in the module which at sometimes felt exhaustive.

von Santhosh R B

7. Apr. 2020

Would have been more interactive if the grading was done after each and every week through assignments.

Thank you

von Thiago C

13. Apr. 2020

The course is good but I will need to start at a beginner level in order to consider reapplying to this course.

von Suhan R

11. Jan. 2020

The course is too short or rather a bit on the lighter side. Expected a bit more heavy and rigorous content.

von Giorgio G

20. Mai 2020

Great Course, Opportunities for improvement: go a little deeper on the algorithms strengths and weaknesses.