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

4.6
stars
8,585 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

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

FL

Oct 13, 2017

Very well structured course, and very interesting too! Has made me want to pursue a career in machine learning. I originally just wanted to learn to program, without true goal, now I have one thanks!!

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701 - 725 of 1,562 Reviews for Applied Machine Learning in Python

By Edgar G

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Sep 17, 2020

Good Content. Interesting and challenging assignments

By Puchakayala S J

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Jun 9, 2020

This is the best course of the best one's. Thank you!

By Varun R

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Jun 1, 2020

Thank you coursera for financial aid and such content

By Dongxiao H

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Jan 31, 2018

It is helpful for me to be familiar with scikit-learn

By Paghadar A B

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Sep 15, 2021

It give Execellent Start for Learn Machine Learning.

By Cristian C J M

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Nov 18, 2020

Muy buen curso, bastante duro, pero muy gratificante

By Tue V

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Mar 25, 2020

I have learnt a lot from this course. Thanks so much

By Joshua A

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Dec 3, 2019

An excellent overview of Machine Learning in Python.

By Jose A P L

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Mar 16, 2019

Muy buen curso para iniciarse en el machine learning

By Dibyendu C

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Oct 17, 2018

Well structured and quality lectures and assignments

By Anthony K

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Jul 5, 2017

So far the course is relevant and very approachable.

By Aniket K S

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Aug 25, 2020

Give a lot idea about implementing machine Learning

By Haozhe ( X

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May 31, 2020

Great course. Love the design for each assignments.

By Archunan G

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Dec 3, 2019

Course is interesting and nice . quiz made well .

By MAINAK C

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Aug 20, 2019

very nice and apt course for all types of learners.

By Lutz H

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Jun 17, 2019

Really well explained. Great excersices! Well done!

By Aman K

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Mar 6, 2019

Course Material is quite interesting and practical.

By Mai N

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Sep 8, 2018

Good starting points for any machine learning folks

By Ebenezer A W

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Nov 14, 2017

A really nice course to begin machine learning with

By LEE D D

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Nov 9, 2017

Perfect and hard course than Andrew Ng's ML course!

By A A

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Aug 4, 2017

Best introduction to sklearn library I came across!

By zhang y

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Oct 3, 2021

comprehensive machine learning course for beginner

By Pratama A A

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Jul 14, 2020

If you're beginner i suggest dont take this course

By Ameya B

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Jul 3, 2020

Overall good intro to actually using scikit-learn.

By likejian

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May 14, 2020

It’s very nice course to learn ML for the new guys