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

4.6
stars
8,768 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

JL

Aug 19, 2018

Concise and clear presentation of the material with the majority of time focused around using TDD to learn and practice concepts through developing solutions to open ended coding challenges.

AG

Aug 26, 2017

A lot of techniques packed into a relatively short course. Weeks 2 & 4 are noticably tougher than the other two, so allow plenty of extra time for assignment and quiz in those 2 weeks.

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1076 - 1100 of 1,599 Reviews for Applied Machine Learning in Python

By John P

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May 4, 2018

Thank you!

By Rafa C

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Jun 29, 2017

Very good!

By Parth D 2

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Dec 22, 2025

Excellent

By Msugh A

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Jul 13, 2025

excellent

By Sayan M

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Aug 22, 2021

VERY GOOD

By Javier G

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Aug 21, 2020

Excelente

By Arjunsiva S

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Jul 25, 2020

Thank you

By Heshan L

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Jul 16, 2020

Very good

By Preet K S

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Jun 30, 2020

Very well

By Sampada C

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Jun 24, 2020

very nice

By José C

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Jun 23, 2020

Excellent

By Akash T

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Jun 13, 2020

excellent

By Imad Z

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Jun 1, 2020

Excellent

By Juan J H Á

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May 24, 2020

excellent

By Abinaya T

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May 7, 2020

Very good

By salah

•

Oct 12, 2019

thank you

By Pratham N

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Aug 22, 2019

very good

By Edgar M d J G B

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May 12, 2019

Excelente

By Марчевский В Д

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Apr 29, 2019

Good one!

By Parul S

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Mar 25, 2019

excellent

By Cyrus N A P

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Nov 24, 2018

THE BEST!

By Saumya S

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Sep 12, 2018

excellent

By timetraveller

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Sep 7, 2018

nice shiz

By Srilatha T

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Jan 9, 2018

excellent

By Arnab

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Nov 3, 2017

Excellent