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

7,352 ratings
1,343 reviews

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

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!!

Sep 8, 2017

This course is ideally designed for understanding, which tools you can use to do machine learning tasks in python. However, for deep understanding ML algorithms you should take more math based courses

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726 - 750 of 1,320 Reviews for Applied Machine Learning in Python

By Chanaka S

Jul 21, 2020

The hardest assigment i ever done

By Ovi S

May 4, 2020

Awesome for intermediate learners

By Himanshu R

Apr 27, 2020

It was great learning experience.

By Xiaoming Z

Jan 11, 2019

Very informative, useful practice

By Hemalatha N

Oct 24, 2017

Very informative & highly useful.

By Fernanda R L

Oct 9, 2017

Very good, beyond my expectations

By Eunjae J

Jul 1, 2017

It was really hard, but worth it!

By Deni M

May 30, 2021

G​reat course highly recommended

By Dinith M

Nov 19, 2020

Learned a lot, excellent content

By Gaurav R

Oct 21, 2020

best course for machine learning

By Saurabh D

May 24, 2020

Very hands on. I learnt so much.

By Priscila L

Nov 10, 2018

nice teacher, interesting course

By Sayan G

Jun 15, 2018

Exhaustive and in depth coverage

By Guido L

Feb 8, 2018

Very good, comprehensive course!

By Mwenimpako P S

Jul 31, 2017

Very informative and educational

By José E L

Jun 6, 2017

Excellent material and tutoring!

By Jun S

Dec 30, 2020

Excellence course for beginners

By Adish P

May 28, 2020

Excellent Course. Very helpful.

By Vikas K

Dec 9, 2019

best course in detailed version


Jul 17, 2019

excellent course for beginners!

By Fadhel A

May 28, 2019

whole new informations for me.

By Li T

Oct 28, 2017

Informative course. Five stars!

By Ivan P

Aug 14, 2017

Very good course for beginners)

By Madalina-Mihaela B

Jul 18, 2017

Awesome course. Very practical!

By Jim S

Jul 1, 2017

Excellent content and delivery.