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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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726 - 750 of 1,001 Reviews for Machine Learning: Regression

By Tianyuan L

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Feb 27, 2016

Great Course

By Haitham S S S

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Jan 16, 2016

Spectacular!

By Siddharth V B

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Nov 29, 2020

good CoUrSe

By Velpula M K

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Nov 6, 2019

Good Course

By Pavel P

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Jan 6, 2018

Just great!

By Do A T

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Oct 26, 2017

very useful

By nazar p

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May 6, 2017

good stuff.

By Gaston F

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Oct 1, 2016

Fine course

By Carlos M

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Mar 18, 2016

good course

By Thuong D H

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Mar 4, 2016

Good course

By gangan

•

Jan 1, 2016

Impressive!

By Hany E

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Oct 14, 2019

Thank you!

By Genyu Z

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Aug 19, 2019

It's good!

By Fabricio F

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Jun 13, 2017

Excellent!

By Erkan E

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May 20, 2017

Fantastic!

By Tural I

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Apr 29, 2017

Just Great

By Saheer K

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Sep 11, 2016

Execellent

By zhenyue z

•

Jun 1, 2016

good class

By Pedro V H S

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Mar 9, 2016

I loved it

By Chen Y

•

Feb 18, 2016

Insightful

By Amit T

•

Jan 30, 2016

Excellent!

By Lion F P d S

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Jan 4, 2016

Excelente!

By Rida Z

•

Jan 21, 2023

Excellent

By NAGARAJAN M M

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Oct 22, 2021

Wonderful

By Anitha V

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Jul 5, 2021

excellent