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

4.6
stars
8,758 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 20, 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 27, 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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1051 - 1075 of 1,596 Reviews for Applied Machine Learning in Python

By Denilson A M T

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Nov 25, 2021

Recomendado

By kshitij a

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Jun 30, 2021

Fantastic!!

By kartik s

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Jun 28, 2021

best course

By Diego T d S

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Jun 25, 2021

Very good.

By Babakaka H

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Oct 31, 2020

outstanding

By Serafeim L

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Oct 3, 2020

Great class

By Ivan S

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Sep 30, 2020

I liked it!

By MADDIREDDY S P R

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Aug 11, 2020

Good Course

By shubham z

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Jun 11, 2020

good course

By Pornpra C

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Jun 11, 2020

Good course

By Harshit L

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Mar 21, 2020

good course

By JATIN G

•

Jul 23, 2019

NIce Course

By Aries F

•

May 29, 2019

Well-design

By Qiuxiang H

•

Apr 21, 2019

good course

By Saurav B

•

Dec 24, 2017

Good Course

By Kuntal B

•

Oct 26, 2017

Awesome !!!

By Manjiri M G 2

•

Nov 30, 2025

it is good

By Henrique I

•

Jun 23, 2023

Very good!

By Freddy E R R

•

Jun 16, 2022

Excelente.

By SUDE G Ç

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Sep 18, 2021

Thank you!

By Hritik A

•

Aug 9, 2020

boht harrd

By Ricardo J M S

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Apr 5, 2020

Great MOOC

By Shivani A

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Feb 28, 2020

Execellent

By Akash G

•

Mar 3, 2019

awesome DS

By John P

•

May 5, 2018

Thank you!