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

4.6
stars
8,514 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

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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601 - 625 of 1,550 Reviews for Applied Machine Learning in Python

By Arshad M

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Jun 4, 2023

One of the best introductory courses. What a beautiful way of teaching.

By Ahmad H S

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Jul 26, 2019

It is Comprehensive course and give great baseline to enter this domain

By Val A B

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Nov 20, 2018

This is a very good way to start machine learning if you're a beginner.

By N180606 B S P

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Nov 17, 2022

I am thankful to the University of Michigan for providing this course.

By Holger P

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Oct 7, 2017

Great course covering Python's Machine Learning library scikit-learn.

By 陈明

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Sep 29, 2017

This is really a very practical course, and inspiring me to learn more

By Qian H

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Jul 4, 2017

Nice course with an good level. I really leant a lot from this course!

By Thịnh C

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Nov 2, 2020

I learnt a lot from this course. 10/10 would recommend to my friends.

By Tanmoy M

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Sep 30, 2020

Amazing. How can a course be so awesome!!! Thanks to the Instructors.

By PURNA C R . K

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Jul 22, 2020

It's a superb course well organised with good and real time examples.

By a l s

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Jan 21, 2019

A very systematic introduction to most used machine learning models.

By Γεώργιος Κ

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Jan 11, 2018

A must to to have lesson for Data Science using Pandas and Matplotlib

By mugnaio

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Sep 29, 2017

As all course in this specialization, this is very interesting course

By Oscar J O R

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Jul 1, 2017

Amazing module. Clear explanations and useful examples and exercises.

By Deep S

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Feb 3, 2021

Precise and concise. Good for getting started in using Python for ML

By devanshu s

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Jul 6, 2020

very good course! Had great time applying the concepts I had learnt.

By Bina S

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Oct 7, 2019

Learned Machine learning enough to know what it is and how it works.

By Mauritz v d W

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Sep 24, 2017

One of the best applied machine learning courses I have come across.

By subha m

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Mar 15, 2024

Very much satisfied with this course very much thankful to coursera

By Guilherme M S F

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Oct 31, 2021

They take all flaw points of the courses before and made it better

By Jose J R

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Aug 18, 2021

Excelente curso, aprendí mucho sobre ML aplicado a problemas reales

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?