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

4.6
Sterne
8,012 Bewertungen
1,460 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....

Top-Bewertungen

FL

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!!

AS

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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1251 - 1275 von 1,451 Bewertungen für Applied Machine Learning in Python

von Saori Y

22. Juli 2020

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

von SAYANTAN B

9. Mai 2020

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

von ABHAY T

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 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.

von Tom M

27. Sep. 2017

Clean programming examples. A little simplistic for advanced users.

von Davide M

24. Okt. 2018

Should be an harder final assignement, but a great course overral!

von Jeffrey D B

16. Okt. 2018

Pretty good class, decent but very quick walk-through of ML tools.

von Arun P P

29. Juli 2020

It was n insightful course but was quite advanced for a beginner.

von Manuela D

8. Aug. 2019

Well organised, lots of details, a good overview of ML algorithms

von Sang L

28. Juli 2018

Speed kinda fast but maganeable. Need more detiailed notes/slides

von Lasal J

29. Dez. 2020

The content is great, I wish if there is more support in forums.

von ABHISHEK B

4. März 2021

Amazing Course for those who need to take the next step in ML.

von Vatsal M

26. Mai 2020

Some of the assignments have bugs in them please rectify them.

von Jose I B L

30. Juli 2020

Good coure, need more feedback in the quizzes and asigments.

von Sai A D

13. Okt. 2019

pre-processing and unsupervised learning needs more emphasis

von Deleted A

13. Juli 2018

there are some gaps which is really difficult to understand!

von Xingyu W

13. Okt. 2019

Need a better configuration for homework data file loading.

von DENIS R

22. Mai 2020

allowed me to hone my knowledge of machine learning models