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

4.6
stars
8,495 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

JZ

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Very good mix of video and python notebook. Some improvement can be done with the AutoGrader like get back the error python stack trace.

Globally, very good course - strongly recommanded

FL

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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!!

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926 - 950 of 1,549 Reviews for Applied Machine Learning in Python

By Jing H L

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May 26, 2020

I like this course.

By Ramakant D

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Mar 27, 2019

super..............

By 张超

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Oct 10, 2018

很好的课程，但是不适合我现在的学习阶段

By sagar s

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Sep 30, 2018

Awesome. Worth it!.

By TOKPLO F

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Jun 3, 2020

i like this course

By Radha S

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Dec 5, 2019

Excellent course !

By Nithin R

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Dec 25, 2018

contents are good.

By Taibur R

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Dec 11, 2018

i love this course

By Sylvain D

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Sep 17, 2018

Great review of ML

By Sam C

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Feb 11, 2018

very Good practice

By Sanjay K

•

Jan 29, 2018

Awesome Insturctor

By Birbal V

•

Jul 18, 2017

Excellent learning

By Gabriel P A S

•

Jan 11, 2022

Excellent course!

By Hans C P

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Jun 26, 2020

Excellent course.

By Radhika p

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Jun 3, 2020

it was wonderfull

By Ayush P

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May 26, 2020

Excellent Faculty

By Hassan N

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Jan 26, 2020

That's Very Great

By Vinit D

•

Jan 9, 2020

Excellent Course!

By Steven G

•

Nov 5, 2019

Excellent course.

By Noureddine B

•

Sep 18, 2018

Excellent course.

By Mohit K

•

Sep 9, 2018

Wonderful Course.

By Evgeny V

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Apr 4, 2018

Excellent course!

By praneet n

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Jan 9, 2018

i love the course

By A E

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Oct 7, 2017

Excellent course!

By Luiz H

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Jun 25, 2017

Excellent course.