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

4.6
stars
8,652 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

PS

Apr 2, 2018

Extremely useful course! You really get a lot of value from it and exactly what you would expect from such course! Very entertaining and a lot of additional educational materials! Thank You a lot!

JL

Aug 19, 2018

Concise and clear presentation of the material with the majority of time focused around using TDD to learn and practice concepts through developing solutions to open ended coding challenges.

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1401 - 1425 of 1,574 Reviews for Applied Machine Learning in Python

By Jagadish C A

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Sep 18, 2019

Gives good overview of ML using Pyton

By Mehrdad A

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Sep 22, 2024

It was summerized and beneficial

By Shreekant G

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Jul 17, 2019

Really taught best ML algorithms

By xingkong

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Aug 9, 2017

quiz is harder than assignment.

By Rainer S

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Feb 4, 2024

A tough but well worth class.

By shreyash t

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Jul 27, 2020

overalll good way to start ml

By Vaibhav S

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May 27, 2020

way better than last teacher.

By Nicolas B

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Jul 5, 2017

Muy buen curso, muy completo.

By Sanskriti G

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Oct 25, 2021

it was an amazing experience

By 李祥泰

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Aug 14, 2017

Nice courses with nice quiz!

By 刘倬瑞

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Jul 28, 2017

Useful, though a little easy

By Landon M L

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Jul 8, 2017

the discussion forum is good

By Rizvaan M

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May 21, 2020

This was a great course.

By Demirhan D

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Sep 8, 2022

I got too many errors.

By Thi-Thu-Hong P

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Aug 10, 2022

Good course. I love it

By Biswakarmi K

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Aug 18, 2021

very helpful course..

By Yassin B M

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Jul 17, 2020

Good Course , Thanks!!

By Burak

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Sep 30, 2018

good for scikitlearn.

By David P

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Aug 4, 2021

A really good course

By Bama

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Jul 11, 2020

This course is good.

By Abhav T

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Jun 3, 2020

Nice course to study

By Boris D

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Jan 17, 2021

Quite challenging.

By Shashi K

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May 18, 2020

very good learning

By HAMZAOUI M

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Jul 25, 2019

HARD BUT GOOD

By Dr. K

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Oct 2, 2020

nice course