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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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601 - 625 of 1,000 Reviews for Machine Learning: Regression

By 林玮

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Oct 24, 2016

这门课提供了一个新的角度，从而使我更深刻地理解了回归预测。

By 江智彬

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Feb 28, 2016

The teachers are very funny !

By Vijai K S

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Dec 7, 2015

It is a very thorough course.

By Nar N

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Oct 31, 2024

It was a really good course.

By Yash A

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May 21, 2020

Simply the best course ever.

By Ronnie C

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May 22, 2019

Very intuitive explanations!

By Deleted A

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May 1, 2019

Great course, great material

By Jorge C

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Dec 17, 2017

Very good indepth expanation

By Mithilesh K S

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Oct 23, 2017

awesome approach of teaching

By Dzmitry D

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Jan 7, 2016

Thank you! It was fantastic!

By Hanna L

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Aug 12, 2019

Thanks for the great class!

By JOSE R

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Nov 19, 2017

Very well explained. Thanks

By Oleksii R

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Jun 5, 2016

Great course. Thanks a lot.

By Jose A V T

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Dec 19, 2015

A great course!!! Thanks...

By Sachin J P

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Oct 15, 2020

It was a very good course.

By Feng G

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Jun 28, 2018

Thank you very much Emily!

By Serge K

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Feb 5, 2018

Emily is a great lecturer!

By Naveed A

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Apr 19, 2016

Best Teachers, Best Course

By Xie Z

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Feb 19, 2016

Great course!!! Thank you.

By Alejandro G L

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Jan 18, 2016

It is an excellent course.

By Chitrang T

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Dec 30, 2015

This is a very good course

By Manjunath B

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Feb 25, 2020

Very good course content,

By ZhuangBairong

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Aug 5, 2016

Really an awesome course!

By Trong T L

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May 25, 2016

Great intro to regression

By Pascal U E

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Apr 1, 2016

Emilie is a great teacher