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

4.6
stars
8,581 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

FL

Oct 14, 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 27, 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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551 - 575 of 1,561 Reviews for Applied Machine Learning in Python

By sam s

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Mar 24, 2022

Even taking graduate level ML classes, the lessons I learned here are still useful!

By Lahari M

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Jun 11, 2020

The best course ever for understanding the ml concepts clearly.thanks to coursera.

By Yunhong H

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Mar 23, 2019

I learned a lot from this course. I gained confidence after I finished this course.

By Alejandro M

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Jan 15, 2018

The Course give you a general view and direct applications in Business and Science.

By David M

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Feb 26, 2021

Extremely useful. The most import course within the specialization in my opinion.

By Ozgun K S

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Aug 4, 2020

Both classes and assignments are both perfectly structured and very well designed.

By GAJULAMANDYAM D K n (

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Jun 13, 2020

very deep explanation...super quick guide for beginners interested in exploring ML

By Rodrigo G M

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May 4, 2020

Very well presented. The content is on the correct depth, and very much practical.

By Muhammad M M

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Jan 20, 2020

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

By BRAD O

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Aug 28, 2019

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

By Antonios P

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Nov 29, 2017

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

By Gifari Z

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Nov 2, 2020

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

By Millennium G

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Jul 18, 2020

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

By PATEL H K

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Jun 2, 2020

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

By George d V C N

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May 31, 2020

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

By Tom M

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Jan 23, 2019

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

By Romel C B

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Dec 19, 2018

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

By I.P

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Sep 10, 2024

Excellent. A very good combination of detailed and global view of all the field.

By kosar a

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Nov 25, 2023

I enjoyed process of learning ML by this course. Thanks for all your hard works.

By Vitor O T A

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Mar 9, 2023

Very nice content and classes, not so good evaluation of our performance though.

By Juan S C G

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Sep 26, 2021

So far, the hardest course of this especialization. However, quite interesting.

By Gregory B

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Dec 14, 2020

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

By Mohd A A

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Aug 28, 2019

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

By Chengying L

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Jun 7, 2020

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

By Darius T

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Feb 19, 2019

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