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

7,368 ratings
1,344 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

Nov 26, 2020

great experience and learning lots of technique to apply on real world data, and get important and insightful information from raw data. motivated to proceed further in this domain and course as well.

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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926 - 950 of 1,321 Reviews for Applied Machine Learning in Python

By Preet K S

Jun 30, 2020

Very well

By Sampada C

Jun 24, 2020

very nice

By José C

Jun 23, 2020


By Akash T

Jun 13, 2020


By Imad Z

Jun 1, 2020


By Juan J H Á

May 25, 2020


By Abinaya T

May 7, 2020

Very good

By salah

Oct 12, 2019

thank you

By Pratham N

Aug 22, 2019

very good

By Edgar M d J G B

May 13, 2019


By Марчевский В Д

Apr 29, 2019

Good one!

By Parul S

Mar 25, 2019


By Cyrus N A P

Nov 24, 2018


By Saumya S

Sep 12, 2018


By timetraveller

Sep 7, 2018

nice shiz

By Srilatha T

Jan 9, 2018


By Arnab

Nov 3, 2017


By clark x

Jul 2, 2017

very good

By Megha T

Jun 26, 2017

helpful !

By Daniel C C

Jun 22, 2017


By Oméro B P N

Feb 2, 2021


By Shreyash

Nov 30, 2020


By Arnab M

Sep 22, 2020

Good one

By David B d M J

Sep 2, 2020


By Mohammad Y

Jun 19, 2020