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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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751 - 775 of 1,001 Reviews for Machine Learning: Regression

By Kalpana j

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May 7, 2021

excellent

By Yuvraj R

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Feb 5, 2021

beautiful

By Neha K

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Sep 17, 2020

EXCELLENT

By PAWAN S

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Sep 16, 2020

EXCELLENT

By Tavva S T

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Jun 20, 2020

excellent

By Dr. A S M M R

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Jun 13, 2020

very good

By Gaurav K J

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Apr 22, 2018

I want to

By FilippoV

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Sep 3, 2017

very good

By Sabyasachi D

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May 19, 2017

Loved it!

By Sanjay A

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Apr 11, 2017

Very good

By Pradeep N

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Aug 14, 2016

super one

By Ling J

•

Aug 2, 2016

这门课程很好的啊。

By Kumiko K

•

Jun 5, 2016

The best!

By Andrew M

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Mar 29, 2016

Fantastic

By Gopika K

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Nov 2, 2021

Superb!!

By Bruno R M

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Feb 1, 2018

Awesome!

By Badrinath J

•

May 3, 2016

The best

By Aniruddha B

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Feb 13, 2016

Superb!!

By Junyong

•

Apr 6, 2021

감사합니다~!

By Anshumaan K P

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Nov 11, 2020

COOL XD

By Fakhre A

•

May 9, 2018

Awesome

By om (

•

May 11, 2017

awesome

By VYSHNAVI P

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Dec 13, 2021

better

By James R

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Oct 16, 2019

G

r

e

a

t

!

By Tariq H

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Oct 3, 2017

Thanks