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

4.6
stars
7,045 ratings
1,283 reviews

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

OA
Sep 8, 2017

This course is ideally designed for understanding, which tools you can use to do machine learning tasks in python. However, for deep understanding ML algorithms you should take more math based courses

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.

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926 - 950 of 1,262 Reviews for Applied Machine Learning in Python

By SHREYASHI D

Sep 17, 2020

great

By Richard Z

Sep 3, 2019

Good.

By Xia l

May 16, 2019

GREAT

By xuhp

Nov 13, 2018

great

By shubham

Mar 17, 2018

great

By MD M H

Nov 4, 2020

Nice

By Ishan J M

Oct 30, 2020

Good

By �SADHARAN G

Aug 10, 2020

good

By RAGHUVEER S D

Jul 25, 2020

good

By N. S

Jul 7, 2020

good

By Arif S

Jul 1, 2020

good

By parmar p

May 18, 2020

nice

By Miriam R

Dec 26, 2019

good

By Light0617

May 12, 2019

nice

By Shishir N

Jan 9, 2019

N

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c

e

By Jimut B P

Oct 8, 2018

Nice

By Yi-Yang L

Jul 3, 2017

Nice

By SURAJ K

Jun 23, 2020

osm

By Shilpi G

Jun 2, 2019

...

By Magdiel B d N A

May 10, 2019

ok

By PREDEEP K

Nov 24, 2018

ok

By Andrew G

May 16, 2019

T

By Junaid L S

May 14, 2019

G

By Thomas W

Mar 6, 2018

g

By Oleh Z

Feb 27, 2018

G