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Learner Reviews & Feedback for Machine Learning: Regression by University of Washington

4.8
stars
5,581 ratings

About the Course

Case Study - Predicting Housing Prices In our first case study, predicting house prices, you will create models that predict a continuous value (price) from input features (square footage, number of bedrooms and bathrooms,...). This is just one of the many places where regression can be applied. Other applications range from predicting health outcomes in medicine, stock prices in finance, and power usage in high-performance computing, to analyzing which regulators are important for gene expression. In this course, you will explore regularized linear regression models for the task of prediction and feature selection. You will be able to handle very large sets of features and select between models of various complexity. You will also analyze the impact of aspects of your data -- such as outliers -- on your selected models and predictions. To fit these models, you will implement optimization algorithms that scale to large datasets. Learning Outcomes: By the end of this course, you will be able to: -Describe the input and output of a regression model. -Compare and contrast bias and variance when modeling data. -Estimate model parameters using optimization algorithms. -Tune parameters with cross validation. -Analyze the performance of the model. -Describe the notion of sparsity and how LASSO leads to sparse solutions. -Deploy methods to select between models. -Exploit the model to form predictions. -Build a regression model to predict prices using a housing dataset. -Implement these techniques in Python....

Top reviews

AM

Apr 25, 2020

Very informative, practical course with excellent instructors, I would recommend this course to anyone doing basic machine learning. The only issue I see is that the course can be offered in R.

PH

Apr 6, 2016

This is an excellent course. The presentation is clear, the graphs are very informative, the homework is well-structured and it does not beat around the bush with unnecessary theoretical tangents.

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626 - 650 of 1,001 Reviews for Machine Learning: Regression

By xichen

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Mar 8, 2016

Really cool and practical

By chand b

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Nov 22, 2018

Amaizing one.. You Rocks

By Jonathan C

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Jan 3, 2018

so much good information

By Oscar A B D

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Jun 12, 2017

Excellent specialization

By Changik C

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Oct 25, 2016

Learned a lot recommend!

By Lex T

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Feb 22, 2016

Really great stuff guys!

By Syed S H

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Oct 11, 2021

Appreciated the content

By Veera K R

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Mar 16, 2020

Informative and Useful.

By JAMES R P B

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Sep 13, 2019

Good learning materials

By Aakash S

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Jun 5, 2019

Amazing Course. Thanks.

By Mao M

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Apr 28, 2019

Very good for beginners

By Ayush K

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Mar 7, 2019

Great in-depth coverage

By Carlos L

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Jan 19, 2016

I learned a lot! Thanks

By MOHAMED E A

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Dec 14, 2020

very detailed course!!

By Deba K D

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Jan 20, 2020

Very good for learning

By pavan b

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Jan 21, 2019

Very good assignments.

By Aadesh N

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Jun 13, 2016

Great course materials

By 汪彦龙

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Jan 19, 2016

The course is awesome!

By DONG Z

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Jan 1, 2016

Best course! really!!!

By SUBBA R D

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Jun 13, 2020

course is more useful

By Cosmos D I

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Nov 15, 2019

Good and interesting!

By DHARMVIR K

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Aug 8, 2018

It was great learning

By Claus B

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Oct 8, 2017

Great hands-on course

By Kevin Y

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Jun 26, 2017

Very good instructors

By Chris W

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Jan 10, 2016

Another great module.