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

4.6
stars
8,535 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, ...
...

Top reviews

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!!

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.

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1551 - 1554 of 1,554 Reviews for Applied Machine Learning in Python

By Konark Y

•

May 10, 2020

many issues while submitting assignments

By Oleg G

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May 16, 2020

enrolled by mistake want to u nenroll

By Christos B

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Jan 3, 2025

Very poor grading system

By SHREYANSH A 2

•

Mar 1, 2023

lund course