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

4.6
stars
8,537 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, ...
...

Top reviews

AS

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.

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!!

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By MD M H

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Nov 4, 2020

Nice

By ISHAN M

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Oct 30, 2020

Good

By �SADHARAN G

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Aug 10, 2020

good

By RAGHUVEER S D

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Jul 25, 2020

good

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Jul 7, 2020

good

By Arif S

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Jul 1, 2020

good

By parmar p

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May 18, 2020

nice

By Miriam R

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Dec 26, 2019

good

By Light0617

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May 12, 2019

nice

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Jan 9, 2019

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By Jimut B P

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Oct 8, 2018

Nice

By Yi-Yang L

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Jul 3, 2017

Nice

By SURAJ K

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Jun 23, 2020

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By Shilpi G

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Jun 2, 2019

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By DURGE A J

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Aug 28, 2024

ok

By Magdiel A

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May 10, 2019

ok

By PREDEEP K

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Nov 24, 2018

ok

By Jintao M

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Feb 1, 2023

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By Souvik G

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Aug 23, 2021

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By Andrew G

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By Junaid L S

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By Thomas

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Feb 27, 2018

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By Piotr B

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Jun 1, 2017

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