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Bewertung und Feedback des Lernenden für Applied Machine Learning in Python von University of Michigan

8,259 Bewertungen

Über den Kurs

This course will introduce the learner to applied machine learning, focusing more on the techniques and methods than on the statistics behind these methods. The course will start with a discussion of how machine learning is different than descriptive statistics, and introduce the scikit learn toolkit through a tutorial. The issue of dimensionality of data will be discussed, and the task of clustering data, as well as evaluating those clusters, will be tackled. Supervised approaches for creating predictive models will be described, and learners will be able to apply the scikit learn predictive modelling methods while understanding process issues related to data generalizability (e.g. cross validation, overfitting). The course will end with a look at more advanced techniques, such as building ensembles, and practical limitations of predictive models. By the end of this course, students will be able to identify the difference between a supervised (classification) and unsupervised (clustering) technique, identify which technique they need to apply for a particular dataset and need, engineer features to meet that need, and write python code to carry out an analysis. This course should be taken after Introduction to Data Science in Python and Applied Plotting, Charting & Data Representation in Python and before Applied Text Mining in Python and Applied Social Analysis in Python....



13. Okt. 2017

Very well structured course, and very interesting too! Has made me want to pursue a career in machine learning. I originally just wanted to learn to program, without true goal, now I have one thanks!!


26. Nov. 2020

great experience and learning lots of technique to apply on real world data, and get important and insightful information from raw data. motivated to proceed further in this domain and course as well.

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1276 - 1300 von 1,502 Bewertungen für Applied Machine Learning in Python

von Giovanna L

12. Nov. 2019

The python packages used in the course are becoming outdated

adding useless difficulties.

von soymilk

3. Okt. 2020

Contents of lecture are good but the assignments got many problems that should be fixed

von Falak S

28. Okt. 2020

It's really a great course for the beginner to begin with the machine learning basics.

von Haldankar S N

29. Mai 2020

too much content for 4 weeks course as compared to other courses in the specialization


19. Mai 2020

Good course if you want to know how to build machine learning models via scikit-learn.

von Sumit t

23. Juni 2020

Nice Course and good explanation about practical implementation of machine learning

von Niv B

30. Juli 2018

On 1x speed, I'd rate it 3 stars, on 1.5x its 4.

The professor just speaks too slow.

von Sabin A

31. Mai 2021

Nice course helps understanding the basic ideas about machine learning algorithms.

von Setiadi S

27. Juli 2020

This course is good for somebody wanna to know about the Machine Learning, thanks.

von tqch

24. Juli 2020

Just hoping the problems in assignments/quizzes could be explained more clearly.

von Claire-Isabelle C

24. Juni 2017

I learned A LOT in this course and was pretty proud to pass all the assignments.


1. Jan. 2023

I learn many things to this course Thank You for make this deep concept course.

von Saori Y

22. Juli 2020

The course was really good! However, auto-grading system need to be updated....


9. Mai 2020

Very nice and informative course..Keep it up. This course has helped me a lot.

von Lucas C R

29. Juli 2022

Classes and exercise are really good, but the assignement is really terrible


31. Okt. 2020

Please add the explanation on concepts on board.. sure that will impact more!

von Hanchi W

18. Mai 2019

Good content, some coding assignments are hard to submit(csv file not found)

von Vishwanath V

19. Dez. 2020

Its well designed course providing good overall concept involved in the ML.

von Bharat R

22. Aug. 2017

Nice course. Multiple choice quizzes could have been worded a bit better.

von Grace Y

15. Mai 2020

the material for self-learning after classes is not comprehensive enough.

von Douglas P

28. Mai 2018

Generally worth while but the automatic grading system could be improved.

von Tin H P

15. Jan. 2023

Quite basic ML knowledge. More challenging assignments should be added.

von Daniel A

1. Sep. 2018

Very useful. It's the right course to take after Andrew Ng ML course.

von Shwetank A

23. Juli 2019

Algorithim are not explained much better, just coding is explained.

von Hardik A

4. Jan. 2018

An amazing course for learning the application of machine learning.