Chevron Left
Back to Applied Machine Learning in Python

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.

Filter by:

901 - 925 of 1,599 Reviews for Applied Machine Learning in Python

By Tongsu P

•

Feb 8, 2018

Really challenging course!

By SHREY S 2

•

Feb 2, 2023

GREAT LEARNING EXPERIENCE

By Souvik D

•

Jul 12, 2020

good course for learning.

By Erdem A

•

Jul 8, 2019

The course was fantastic.

By Stanley C

•

May 20, 2019

Excellent. Learned a lot!

By Mandyam S

•

Sep 19, 2018

Quiz material were great!

By Uday P

•

Sep 14, 2017

good course for beginners

By Govind P

•

May 29, 2022

course is really amazing

By TRAN H C B

•

Sep 24, 2021

The courses is very good

By RUCHI S (

•

Sep 1, 2021

It was a good experience

By Jose H C

•

May 17, 2019

Comprehensive & thorough

By Esmerlin R M

•

Mar 4, 2019

Este curso es increíble.

By Prince K

•

Oct 5, 2018

good course for beginner

By Zahra E

•

Oct 27, 2022

Thanks for this course

By ABHISHEK S

•

Aug 5, 2022

great effort by mentors

By Eckhard F

•

Nov 13, 2020

very interesting course

By Meet P

•

Jul 30, 2020

It's Very good Course .

By Kshitij A

•

Jul 2, 2020

Extremely good to learn

By Saikrishna D

•

Aug 2, 2019

The course is fantastic

By Suleman K

•

Jun 12, 2019

Very Informative Course

By Taha R

•

Oct 5, 2018

Great class. Thank you!

By Jeremy L

•

Sep 23, 2017

Very easy to understand

By Mohammad K 2

•

Dec 23, 2025

Excellent explanation.

By Bindupautra J 2

•

Dec 22, 2025

give me my certificate

By Licheng Z

•

Jul 8, 2017

This is a great course