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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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926 - 950 of 1,599 Reviews for Applied Machine Learning in Python

By Omachonu J D

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Jun 26, 2017

Simplified and direct.

By Kiarash R

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Sep 24, 2022

really good course ..

By utkarsh r

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Apr 17, 2020

It was a great course

By Jose J M T

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Jul 8, 2017

Muy bien estructurado

By Kapil S

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Oct 19, 2022

its the best course

By sushant p

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Jun 8, 2021

Great course overall

By Sabarinath G

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Sep 10, 2020

Extraordinary course

By Wenlei Y

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Nov 10, 2019

Super great course!!

By Ranabir G

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Jun 4, 2018

Assignments are good

By Caio V C M

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Mar 20, 2022

Excelente curso!!!!

By JAVIER P

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Dec 17, 2020

Excelent. Thank you

By Charanpreet S B

•

Jul 17, 2020

Extremely Helpful |

By Jing H L

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May 26, 2020

I like this course.

By Ramaknt D

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Mar 27, 2019

super..............

By 张超

•

Oct 10, 2018

很好的课程，但是不适合我现在的学习阶段

By sagar s

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Sep 30, 2018

Awesome. Worth it!.

By Ritik K G 2

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Dec 22, 2025

excellent learning

By TOKPLO F

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Jun 3, 2020

i like this course

By Radha S

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Dec 5, 2019

Excellent course !

By Nithin R

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Dec 25, 2018

contents are good.

By Taibur R

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Dec 11, 2018

i love this course

By Sylvain D

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Sep 17, 2018

Great review of ML

By Sam C

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Feb 11, 2018

very Good practice

By Sanjay K

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Jan 29, 2018

Awesome Insturctor

By Birbal V

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Jul 17, 2017

Excellent learning