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

4.6
stars
8,605 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

JL

Aug 20, 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.

DB

Oct 23, 2020

EXTREMELY USEFUL AND GOOD COURSE, CONGRATULATIONS TO ALL THE PEOPLE INVOLVE.Honestly, I never thought I could learn so much in an online course, excited for the rest of the specialization

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726 - 750 of 1,572 Reviews for Applied Machine Learning in Python

By Abdelrahman M s A

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Feb 27, 2018

One of the best practical ML courses in the field!

By ARUN S

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Nov 10, 2017

Great professor with lot of real world experience.

By ChanLung

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Aug 1, 2017

Excellent Machine Learning Course for application!

By Rui J (

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Nov 17, 2021

it is so much fun to write programms on your own!

By Oxana M

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Dec 7, 2020

I like this cource. It gives a very good overview

By Bauyrzhan A

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Nov 15, 2020

It is decent course with fair level of complexity

By Anuj P

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Jun 21, 2020

tremendous knowledge for applied machine learning

By SUBBA R D

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Jun 11, 2020

Very useful course especially for the beginners .

By Raúl V - S

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Apr 18, 2020

Very well organized and challenging real datasets

By Prachi A

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Mar 2, 2020

Amazing course for a beginner in Machine Learning

By Juan S

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Feb 3, 2020

Good overview to a lot of different ML techniques

By D. S

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Oct 10, 2019

Very well designed course. Learned a lot. Thanks!

By Kee K Y

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Aug 8, 2021

Practical and excellent course for ML Specialist

By Arturo R

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Jul 15, 2021

Very well balanced between dificuty and learning

By Manan S

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May 26, 2020

Awesome Teaching and Assignemts are very usefull

By Debayan M

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Jun 4, 2019

A must -learn for every aspiring data scientist.

By Mischa L

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Jan 7, 2018

Great course with excellent homework assignments

By Shivani R

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Jul 19, 2020

Very good course. Detailed videos & explanation

By SRIHARI

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Jul 18, 2017

This is good course gives in depth information.

By Muhammad F A

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Jan 1, 2021

thanks for knowledge and live to inspire,peace

By Ana K A d M

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Feb 7, 2020

Excellent balance between theory and practice!

By Krishna P S

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Mar 2, 2018

Excellent course. Nicely designed & delivered.

By Eray Ö

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Sep 26, 2017

great course with a lot of hands-on experience

By maria z

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Mar 1, 2023

very good course to excel in machine learning

By Mohammad Q M A

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Jul 13, 2020

It is A great course ! I recommend to take it