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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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626 - 650 of 1,562 Reviews for Applied Machine Learning in Python

By Shyamselvaraj S

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Sep 20, 2020

Good course for newbies who new ML , but want to apply using python

By Sooraj S

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Mar 31, 2019

Good introduction to Machine Learning and implementation in Python.

By Charles F

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Aug 30, 2017

Quite challenging but perfect for getting to grips with applied ML.

By ShaoZhiyi

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Jun 29, 2017

Pretty good. Could you add a new chapter for unsupervised learning?

By RUDRAJIT D

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Oct 24, 2021

very good platform for learning applied machine learning in python

By Christopher S

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Feb 12, 2021

Challenging, but it is literally the only way to learn this stuff.

By SHAHAPURKAR S M

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May 4, 2020

Excellent course material and challenging evaluation components !!

By Mario A B L

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Sep 19, 2019

Amazing course with a lot of in practice lectures and assignments.

By Phillip L C

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Dec 25, 2018

Great course - balanced and very revealing for direct application.

By Seyed A T

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Aug 7, 2018

Very useful course to start working with different ML techniques.

By Saifullah

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Jun 8, 2018

Well designed for practicing, helps a lot in applying ML in python

By Baskaran V

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Dec 29, 2017

One of the very informative from the basic to intermediate course.

By Miquel M

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Jun 30, 2017

Really good course. Lectures and Assignments are very interesting.

By Sourabh J

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Jun 20, 2017

Very Good and Relevant Course. Professor and TAs are very helpful.

By zaib z

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Nov 5, 2022

I am very thankful to Coursera for providing me this opportunity.

By Tatek E

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Mar 23, 2020

Excellent presentation, exercise and reading materials. Thank you

By Marc B

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Jun 30, 2017

I learnt a lot about machine learning - great assignments as well

By Daniel S A

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May 12, 2021

Really good course if you are starting to learn Machine Learning

By John P

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Apr 11, 2021

Fantastic Course. Loved the quizzes and programming assignments.

By Chinmay A T

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Jun 24, 2020

Very Good course. Instructor explained every topic very clearly.

By Nakul S

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Jul 2, 2018

Great course, got to learn a lot. Very helpful discussion forum.

By 19IT001 A

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Jul 26, 2021

Great one! Learnt In-depth working of all supervised algorithms

By Bibek B

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Nov 15, 2020

Well balanced course. The lecture and assignment were excellent

By SIVASHANKARAN K

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Jul 17, 2020

Mentor for this course is very good at explaining each concepts

By Radhe R

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Nov 16, 2019

Great course for someone like me with mid level skills in ML/AI