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Learner Reviews & Feedback for Applied Machine Learning in Python by University of Michigan

4.6
stars
8,605 ratings

About the Course

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 reviews

MB

Jun 18, 2017

Not for the faint of heart and some experience with Python, in particular Pandas, is preferred. Great overview of the different methods used in machine learning. One of the better courses imo.

DB

Oct 22, 2020

EXTREMELY USEFUL AND GOOD COURSE, CONGRATULATIONS TO ALL THE PEOPLE INVOLVE.Honestly, I never thought I could learn so much in an online course, excited for the rest of the specialization

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1326 - 1350 of 1,570 Reviews for Applied Machine Learning in Python

By Haldankar S N

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May 29, 2020

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

By YJFKD

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May 18, 2020

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

By Sumit t

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Jun 23, 2020

Nice Course and good explanation about practical implementation of machine learning

By Niv B

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Jul 30, 2018

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

The professor just speaks too slow.

By Sabin A

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May 31, 2021

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

By Setiadi S

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Jul 27, 2020

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

By tqch

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Jul 23, 2020

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

By Claire-Isabelle C

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Jun 24, 2017

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

By CHIRAG G 2

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Jan 1, 2023

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

By Saori Y

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Jul 21, 2020

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

By SAYANTAN B

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May 9, 2020

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

By Deleted A

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Jul 29, 2022

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

By ABHAY T

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Oct 31, 2020

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

By Martin D

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Dec 11, 2023

Great course, didn't like the evaluation format (the autograded assingments)

By Leonardo F G

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Oct 26, 2023

Muy buen curso. Con pequeños errores en videos y como califica asignaciones.

By Hanchi W

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May 18, 2019

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

By Vishwanath V

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Dec 19, 2020

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

By Bharat R

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Aug 22, 2017

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

By Grace Y

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May 15, 2020

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

By Douglas P

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May 28, 2018

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

By Tin H P

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Jan 15, 2023

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

By Daniel A

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Sep 1, 2018

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

By Shwetank A

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Jul 23, 2019

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

By Hardik A

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Jan 3, 2018

An amazing course for learning the application of machine learning.

By Tom M

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Sep 27, 2017

Clean programming examples. A little simplistic for advanced users.