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

4.6
stars
7,369 ratings
1,344 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

FL
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!!

OA
Sep 8, 2017

This course is ideally designed for understanding, which tools you can use to do machine learning tasks in python. However, for deep understanding ML algorithms you should take more math based courses

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751 - 775 of 1,321 Reviews for Applied Machine Learning in Python

By dean w

Nov 15, 2020

Very Challenging and Rewarding

By Koshanov A

Oct 15, 2020

очень удобно, кратко и понятно

By Paul S

Apr 16, 2020

Very interesting and enjoyable

By Elizabeth N

Apr 2, 2020

Very good applied introduction

By Muhammad Z H

Sep 1, 2019

Learnt a lot Professor. Thanks

By RAJESH M

Aug 6, 2019

Nice course, Practice oriented

By Jan P

Jul 11, 2018

great course - I learnt a lot!

By RIAHI L

Oct 19, 2017

very good course, I enjoyed it

By Ruchi S

Aug 9, 2017

deep yet simple to understand.

By Sajit K

Jun 25, 2017

Insightful and hands on course

By Christopher J P

Mar 9, 2021

Great survey of ML w/ Sklearn

By Devjyoti M

Aug 1, 2020

It was an amazing experience.

By Renjith

Apr 8, 2020

Awesome course, good learning

By Dongsoo J K

Jul 18, 2017

Very good and straightforward

By PRAKHAR K S

Jun 23, 2020

great experience in learning

By Rana S A

Jun 8, 2020

Very much Informative Course

By VEDURLA V S N A S

May 17, 2020

very nice course.very useful

By Anurag M

Jun 9, 2019

Excellent material for study

By John H E

Mar 16, 2019

I truly enjoyed this course.

By John D L C

Dec 27, 2018

This is an excellent course.

By Amrith M

Jul 8, 2017

Yet another Awesome course!!

By Umang P S

Jun 17, 2020

Great Exposure of knowlwdge

By Fernandes M R

Jun 16, 2020

The best course a ever had.

By narra s s

May 10, 2020

Great platform for Learning

By P.Raja S

Apr 25, 2020

nice and informative course