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

4.8
stars
5,575 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

EV

Jun 25, 2016

An in-depth overview of the regression techniques and models. I think it went as deep into the concepts as I wanted it to go. Being a developer I found it quite understandable, and useful.Keep it up!

PD

Mar 17, 2016

I really enjoyed all the concepts and implementations I did along this course....except during the Lasso module. I found this module harder than the others but very interesting as well. Great course!

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626 - 650 of 1,000 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 23, 2018

Amaizing one.. You Rocks

By Jonathan C

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Jan 4, 2018

so much good information

By Oscar A B D

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Jun 13, 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 23, 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 17, 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 29, 2019

Very good for beginners

By Ayush K

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Mar 8, 2019

Great in-depth coverage

By Carlos L

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Jan 20, 2016

I learned a lot! Thanks

By MOHAMED E A

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Dec 15, 2020

very detailed course!!

By Deba K D

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Jan 21, 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 14, 2016

Great course materials

By 汪彦龙

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Jan 20, 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 16, 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 9, 2017

Great hands-on course

By Kevin Y

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Jun 27, 2017

Very good instructors

By Chris W

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Jan 11, 2016

Another great module.