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

4.6
stars
8,773 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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1151 - 1175 of 1,601 Reviews for Applied Machine Learning in Python

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

By Byron

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Oct 30, 2021

nicd

By karra A

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Oct 28, 2021

Good

By SYED A A

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Oct 4, 2021

GOOD

By ANDRES C F G

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Aug 12, 2021

good

By Pedro A C

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May 4, 2021

bala

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

By N. S

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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

By Shishir N

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Jan 9, 2019

N

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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

osm

By Shilpi G

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Jun 2, 2019

...

By Raymundo L L

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Dec 7, 2025

OK

By DURGE A J

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Aug 28, 2024

ok