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

4.6
stars
8,290 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

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

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!!

Filter by:

851 - 875 of 1,509 Reviews for Applied Machine Learning in Python

By DIVYA G

•

Sep 8, 2021

it was a very good experience

By Chris P

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Mar 9, 2021

Great survey of ML w/ Sklearn

By Devjyoti M

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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 Juan A V

•

Apr 10, 2022

Great, excellent assigments.

By Araceli Z

•

Aug 8, 2021

Great course and challenging

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

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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

•

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

By Xinzhi Z

•

Jun 23, 2019

Great course! Very helpful.

By Tianyang Z

•

Jul 6, 2017

great course. Learned a lot

By Kshitij K

•

Sep 17, 2020

Very helpful for my career

By Vinit K

•

May 7, 2020

Great learning experience.

By Ray B

•

Oct 28, 2018

Good intro to scikit-learn

By IvorX

•

Oct 14, 2018

It is a very great course.

By Tongsu P

•

Feb 8, 2018

Really challenging course!

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