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

4.6
stars
8,769 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

SA

Aug 14, 2019

- more technical materials, comparisons and better classified details should've been provided, especially to be more proportional to the assignments.-again, subtitles were full of typos

RS

Jun 9, 2020

The course was really interesting to go through. All the related assignments whether be Quizzes or the Hands-On really test the knowledge. Kudos to the mentor for teaching us in in such a lucid way.

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851 - 875 of 1,599 Reviews for Applied Machine Learning in Python

By José L

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Jun 6, 2017

Excellent material and tutoring!

By Michael K

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Jan 18, 2025

Excellent and practical course.

By Jun S

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Dec 30, 2020

Excellence course for beginners

By Adish P

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May 28, 2020

Excellent Course. Very helpful.

By Vikas K

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Dec 9, 2019

best course in detailed version

By ASHISH G

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Jul 17, 2019

excellent course for beginners!

By Fadhel A

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May 28, 2019

whole new informations for me.

By Li T

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Oct 28, 2017

Informative course. Five stars!

By Ivan P

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Aug 14, 2017

Very good course for beginners)

By Madalina B

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Jul 18, 2017

Awesome course. Very practical!

By Jim S

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Jul 1, 2017

Excellent content and delivery.

By Kiyanmehr N

•

Aug 7, 2023

Great Instructor ,Great Course

By Maddineni E

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Sep 27, 2022

It is a good platform to learn

By Keziah S T K S

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Dec 6, 2021

Good explanations, good module

By dean w

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Nov 15, 2020

Very Challenging and Rewarding

By Abylaikhan K

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Oct 15, 2020

очень удобно, кратко и понятно

By Paul S

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Apr 16, 2020

Very interesting and enjoyable

By Elizabeth N

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Apr 2, 2020

Very good applied introduction

By Muhammad Z H

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Sep 1, 2019

Learnt a lot Professor. Thanks

By RAJESH M

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Aug 6, 2019

Nice course, Practice oriented

By Deleted A

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Jul 11, 2018

great course - I learnt a lot!

By Riahi L

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Oct 19, 2017

very good course, I enjoyed it

By Ruchi S

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Aug 9, 2017

deep yet simple to understand.

By Sajit K

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Jun 25, 2017

Insightful and hands on course

By Sanyogita R

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Dec 1, 2025

it was a really insightful on