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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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1001 - 1025 of 1,599 Reviews for Applied Machine Learning in Python

By Francisco M

•

Jul 12, 2017

Good stuff here

By Hardik V

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Dec 22, 2025

good very nice

By Suman P

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Mar 21, 2025

It's a amazing

By BISWA B G

•

Dec 23, 2020

It was Amazing

By tanushree p

•

Aug 21, 2020

Awesome course

By David F

•

Aug 11, 2020

Great course!!

By Himanshu B

•

May 2, 2020

amazing course

By Akash D

•

Mar 26, 2020

Thank You! Sir

By akash p

•

Mar 23, 2020

it was helpful

By Moez S

•

Nov 18, 2019

Amazing course

By Amin O

•

Sep 26, 2019

Lovely course!

By George G

•

Dec 22, 2018

Awesome course

By Li M

•

Oct 28, 2018

very practical

By Hema

•

Jul 19, 2018

Great course!!

By Julian O

•

Jul 5, 2018

Great overview

By Gerardo C

•

Oct 11, 2017

Great course!!

By Aniket B

•

Jun 24, 2017

Awesome course

By Fera J

•

Jan 16, 2025

very good web

By Moses W W

•

Mar 14, 2021

Great course!

By Rateb K

•

Sep 28, 2020

Great Course!

By MOINAK K M

•

Jun 18, 2020

Great course.

By Nico M

•

Mar 30, 2020

Great course!

By 何霄

•

Sep 23, 2019

great course!

By Oliver O

•

Mar 11, 2019

Great course!

By Harsh S

•

Mar 10, 2019

Great content