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

7,589 ratings
1,387 reviews

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

Oct 13, 2017

Very well structured course, and very interesting too! Has made me want to pursue a career in machine learning. I originally just wanted to learn to program, without true goal, now I have one thanks!!

Nov 26, 2020

great experience and learning lots of technique to apply on real world data, and get important and insightful information from raw data. motivated to proceed further in this domain and course as well.

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451 - 475 of 1,370 Reviews for Applied Machine Learning in Python

By Ivan R

Aug 5, 2017

Great course that covers the key aspects of machine learning in a manner that is easy to follow

By Dmitry B

Jul 22, 2017

This course is the fast lane to hands-on experience with machine learning tools and algorythms!

By Martin H

Jul 5, 2017

very excellent course, must take if you are welling to deal with data and applying ML al. to it

By miguel c

Mar 10, 2019

Great collection of applied Data Science concepts, worked examples and challenges using python

By Varga I K

Feb 25, 2019

Great and Strong fundamentals on machine learning without too much mathematics involved in it.

By harsh J

Feb 14, 2021

Best Practical Course Ever Found. Learned many new things and applied them to other projects.

By Reginaldo S

Apr 7, 2020

This course is perfect for those who wants to learning machine learning techniques in Python.

By Arpit S

Jun 13, 2019

A Great course, the extra offered learning material helped me out to dig deep into the course

By Wix Z

Apr 27, 2019

I can build a easy machine learning pipeline by myself after learning a lot from this course.

By Abe G V T S

Oct 8, 2017

Great course! Very recommended! Though the assignments were kinda hard, but they are worth it

By Ardong S

Sep 6, 2020

highly recommended course for intermediate machine learning practitioner (or also beginner).

By Daniel W

Jun 11, 2020

Very nice course to better understand Scikit Learn and Python potential for Machine Learning

By Sultan A

Nov 8, 2019

the course was fun and full of information to learn. very well professor. thank you so much.

By Felipe F

Aug 29, 2019

Excellent applied course! Very intuitive and the instructor is very kind in his explanations

By Devashish S

Sep 7, 2017

Really hands on course and the perfect way to get to know the domain and learn ML in Python.

By Bernard F

Jul 31, 2017

Excellent balance of theory and practical work through code samples, quizzes and assignments

By Junqing Z

Oct 4, 2021

Really useful course. Love the talking pace of the instructor Prof. Kevyn Collins-Thompson!

By Mengru Z

Mar 19, 2021

Quite challenging course to get started with machine learning! Interesting and worth a try!

By Ishan D

Sep 27, 2020

Best course to learn applied machine learning and you'll be able to apply in real life too.

By Gustavo W

Jun 19, 2017

Great course! Introduces ML algorithms using python's scikit-learn in an easy to follow way

By Jun W

Aug 4, 2018

A very good course. The Jupyter Notebook of this course is very useful and self-contained.

By john w

Sep 14, 2020

good course. the homework actually aligned with the lesson content. I enjoyed this course

By David G N A

Aug 21, 2020

Excellent course! I think University of Michigan's courses are the best ones in Coursera.

By Abdoulaye B

May 10, 2020

This course was more challenging for me I was one of the best course so far I have taken.

By Pulkit K

Apr 25, 2020

The content of the course was up to the standard. Please continue to make such course!!!!