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

4.6
stars
8,515 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

AS

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.

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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1051 - 1075 of 1,550 Reviews for Applied Machine Learning in Python

By Hritik A

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Aug 9, 2020

boht harrd

By Ricardo J M S

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Apr 4, 2020

Great MOOC

By Shivani A

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Feb 28, 2020

Execellent

By Akash G

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Mar 3, 2019

awesome DS

By John P

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May 4, 2018

Thank you!

By Rafa C

•

Jun 29, 2017

Very good!

By Sayan M

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Aug 23, 2021

VERY GOOD

By Javier G

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Aug 22, 2020

Excelente

By Arjunsiva S

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Jul 25, 2020

Thank you

By Heshan L

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Jul 16, 2020

Very good

By Preet K S

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Jun 30, 2020

Very well

By Sampada C

•

Jun 24, 2020

very nice

By José C

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Jun 23, 2020

Excellent

By Akash T

•

Jun 13, 2020

excellent

By Imad Z

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Jun 1, 2020

Excellent

By Juan J H Á

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May 25, 2020

excellent

By Abinaya T

•

May 7, 2020

Very good

By salah

•

Oct 12, 2019

thank you

By Pratham N

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Aug 22, 2019

very good

By Edgar M d J G B

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May 13, 2019

Excelente

By Марчевский В Д

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Apr 29, 2019

Good one!

By Parul S

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Mar 25, 2019

excellent

By Cyrus N A P

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Nov 24, 2018

THE BEST!

By Saumya S

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Sep 12, 2018

excellent

By timetraveller

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Sep 7, 2018

nice shiz