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

4.6
stars
7,745 ratings
1,415 reviews

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

FL
Oct 13, 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
Nov 26, 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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1201 - 1225 of 1,399 Reviews for Applied Machine Learning in Python

By YJFKD

May 19, 2020

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

By Sumit t

Jun 23, 2020

Nice Course and good explanation about practical implementation of machine learning

By Niv B

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

May 31, 2021

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

By Setiadi S

Jul 27, 2020

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

By tqch

Jul 24, 2020

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

By Claire-Isabelle C

Jun 24, 2017

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

By Saori Y

Jul 22, 2020

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

By SAYANTAN B

May 9, 2020

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

By ABHAY T

Oct 31, 2020

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

By Hanchi W

May 18, 2019

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

By Vishwanath V

Dec 19, 2020

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

By Bharat R

Aug 22, 2017

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

By Grace Y

May 15, 2020

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

By Douglas P

May 28, 2018

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

By Daniel A

Sep 1, 2018

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

By Shwetank A

Jul 23, 2019

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

By Hardik A

Jan 4, 2018

An amazing course for learning the application of machine learning.

By Tom M

Sep 27, 2017

Clean programming examples. A little simplistic for advanced users.

By Davide M

Oct 24, 2018

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

By Jeffrey D B

Oct 16, 2018

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

By Arun P P

Jul 29, 2020

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

By Manuela D

Aug 8, 2019

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

By Sang L

Jul 28, 2018

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

By Lasal J

Dec 29, 2020

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