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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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1401 - 1425 of 1,562 Reviews for Applied Machine Learning in Python

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 9, 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

By Aditya V

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Jul 3, 2018

Excellent!!

By Ishan S

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Jul 23, 2017

Awesome !!!

By KILLANI T

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Jun 10, 2020

hard a bit

By Diego F M A

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Jun 29, 2022

Excellent

By Deepak T

•

Jan 13, 2020

Very Good

By Md J A

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Aug 18, 2017

very good

By MOHD A

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Sep 10, 2020

perfect

By NITYA B 2

•

Oct 17, 2021

Good

By tanmoy p

•

Dec 18, 2020

good

By Learner

•

Nov 28, 2020

Good