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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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576 - 600 of 1,562 Reviews for Applied Machine Learning in Python

By Srinivas B

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Mar 25, 2018

Its almost great, just short of 5 star rating! Liked the hands-on examples more

By Cristinel M

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Jul 16, 2017

Great value! An excellent complement of Andrew Ng's course on Machine Learning!

By Nevcihan t

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Jul 28, 2020

It was really effcient couse about ML. It cover nearly all parts of ML models.

By Sam J

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Jul 19, 2019

Very straightforward and to-the-point course! Good intro to machine learning!!

By Ben S

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Jul 12, 2018

Great class. Final project was a little unclear, but forums were a great help.

By Zihao H

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Mar 6, 2018

Extremely useful courses, and well taught lectures, and reasonable assignments

By Ana C R

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Aug 31, 2017

Very practical view, while still containing a lot of good theoretical content.

By Karthik H R

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May 14, 2025

I learnt from great learning platform thanks coursera keep doing such courses

By Gerasimos V

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Nov 27, 2020

A course not in depth analysing the facts but give some very useful intuition

By Adolfo G

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Jan 30, 2019

Excellent course, you must to take it and work by yourself in the Assignments

By Niklas v G

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Dec 17, 2020

The course was pretty good at teaching the fundamentals of Machine Learning.

By Roberto L

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May 19, 2020

Good explanations about the topics, and also very good the optional readings

By CHANDRASHEKHAR R

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May 17, 2020

It is strong course about industry perspective. I love to learn this course.

By Nathan R

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Oct 17, 2017

Excellent course. A practical application of the concepts in Python/sklean.

By 陈熠

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Aug 13, 2017

Very good machine learning course working on python with little mathematics.

By Kanatbek A

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Oct 29, 2023

You gain real knowledge of ML by challenging yourself with the assigments!

By IamJM _

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Sep 27, 2020

Extremely good course for your hands on implementation on machine learning.

By Fernando G M G

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Aug 9, 2020

This have been my favorite course so far in Coursera. I really learn a lot.

By Lohit K

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May 8, 2020

Amazing course, amazing professor and an overall great learning experience.

By Max S

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Apr 9, 2019

One of the best courses ever! Plenty of things to learn, to evolve. Superb!

By Phat N

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Feb 2, 2019

Very good introductory course to approach scikit_learn!! Highly Recommend!!

By Lucas P G

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May 25, 2020

Very good starting point to learn how to apply the algorithims of sklearn.

By Evgeny C

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May 18, 2020

Really good and insightful course, but auto grader needs some improvement.

By Dr G N R

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Jun 17, 2020

excellent . but somewhat twisty assignments. please give easy assignments

By Bruce M

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Mar 3, 2020

Excellent course. I learned a lot and enjoyed the challenging

assignments.