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

4.6
stars
8,587 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

MB

Jun 18, 2017

Not for the faint of heart and some experience with Python, in particular Pandas, is preferred. Great overview of the different methods used in machine learning. One of the better courses imo.

S

Oct 23, 2021

It was good learning Machine Learning thru Python as using Python libraries like Pandas , Tensorflow,.etc made the work easier. Hope to do my masters in Machine Learning . Happy Learning <3

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1101 - 1125 of 1,562 Reviews for Applied Machine Learning in Python

By Markus T

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Aug 11, 2017

Ist gut

By Jeff D

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Dec 6, 2020

Thanks

By Kyle A

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Nov 7, 2020

great!

By Yoselin A

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Jun 23, 2020

Great!

By Nattawat B

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Apr 19, 2019

Great!

By Tushar T

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Nov 5, 2017

Superb

By Emin A

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Nov 8, 2023

Super

By Nadila R

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Nov 16, 2021

great

By ANGEL G M C

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Jul 11, 2021

great

By Shiyu M

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Oct 8, 2020

很有启发性

By Soumyajit M

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Oct 1, 2020

Great

By SHREYASHI D

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Sep 17, 2020

great

By Richard Z

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Sep 3, 2019

Good.

By Xia l

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May 16, 2019

GREAT

By xuhp

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Nov 13, 2018

great

By shubham s

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Mar 17, 2018

great

By ahmed a s a z

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Mar 20, 2025

good

By SALONI C 2

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Dec 23, 2023

Good

By RAHUL O 2

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Jan 1, 2023

good

By Kunal J

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Mar 13, 2022

nice

By KAPATI V A

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Feb 8, 2022

nice

By Suman M

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Jan 26, 2022

good

By SURESH y

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Jan 13, 2022

good

By priyanshu s

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Nov 9, 2021

good

By Shivam M

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Nov 4, 2021

good