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

7,569 ratings
1,384 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

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.

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!!

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501 - 525 of 1,366 Reviews for Applied Machine Learning in Python

By Muhammad M M

Jan 20, 2020

it's very good explanation about how we use Machine Learning in real-life problem.


Aug 28, 2019

This is a great introductory course to Machine learning and I enjoyed it very much

By Antonios P D

Nov 29, 2017

Nice introductory course to Machine Learning, with focus on applying it in Python.

By Gifari Z

Nov 2, 2020

Very nice introduction of ML using python. Comprehensive and practical materials.

By Millennium G

Jul 18, 2020

Great course! Professor is also very good as he took real life examples to teach.


Jun 2, 2020

Awesome course!! should definitely take this to learn Machine Learning in advance

By George d V C N

May 31, 2020

Great course, a lot of practice with some theory. It's a great resource to start.

By Tom M

Jan 22, 2019

Wow, great course, so much material covered. Will save this one for later review.

By Romel C B

Dec 19, 2018

Me gusto muchísimo, los temas, la dinámica para el aprendizaje y el trabajo final

By Juan S C G

Sep 26, 2021

S​o far, the hardest course of this especialization. However, quite interesting.

By Gregory B

Dec 14, 2020

Excellent to review all basics and more complex ML Model explanation in deeper .

By Mohd A A

Aug 28, 2019

By the end of this course, you can apply your knowledge in different hackathons.

By Chengying L

Jun 7, 2020

The course is fun, but changing the assignment directory each time is tricky...

By Darius T

Feb 19, 2019

Great course for learning how to apply Machine Learning algorithms with Python.

By Srinivas B

Mar 25, 2018

Its almost great, just short of 5 star rating! Liked the hands-on examples more

By Cristinel M

Jul 16, 2017

Great value! An excellent complement of Andrew Ng's course on Machine Learning!

By Nevcihan t

Jul 28, 2020

It was really effcient couse about ML. It cover nearly all parts of ML models.

By Sam J

Jul 19, 2019

Very straightforward and to-the-point course! Good intro to machine learning!!

By Ben S

Jul 12, 2018

Great class. Final project was a little unclear, but forums were a great help.

By Zihao H

Mar 6, 2018

Extremely useful courses, and well taught lectures, and reasonable assignments

By Ana C R

Aug 31, 2017

Very practical view, while still containing a lot of good theoretical content.

By Gerasimos V

Nov 27, 2020

A course not in depth analysing the facts but give some very useful intuition

By Adolfo G S

Jan 30, 2019

Excellent course, you must to take it and work by yourself in the Assignments

By Niklas v G

Dec 17, 2020

The course was pretty good at teaching the fundamentals of Machine Learning.

By Roberto L

May 19, 2020

Good explanations about the topics, and also very good the optional readings