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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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676 - 700 of 1,001 Reviews for Machine Learning: Regression

By Deepa K

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May 6, 2018

excellent content

By Erik E

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Mar 15, 2018

Very good course.

By Jonathan H

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May 20, 2017

Excellent course!

By Andrei U

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Jun 26, 2016

Very good course.

By Carlos L

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Jun 10, 2016

Excellent course!

By ASHUTOSH K

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Oct 28, 2024

very good course

By SUGUNA M

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Nov 18, 2020

Excellent course

By PAVITHRA B

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Sep 29, 2020

EXCELLENT COURSE

By Gaurav K

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Sep 16, 2020

very good course

By Sukhvir S

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Jul 18, 2020

Great Experience

By MOHIT K

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May 5, 2020

excellent course

By KVD S

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Apr 21, 2020

very nice course

By Jerome Z

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May 21, 2018

Very good class!

By Vineet J

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Jan 30, 2017

excellent course

By TaeKiJeong

•

Jan 12, 2017

The Best lecture

By Pradeep M

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Jan 9, 2017

Simply brilliant

By Chandima

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Dec 26, 2016

Fantastic course

By Douglas P

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Oct 29, 2016

Excelent course!

By André F d A F C

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Jul 25, 2016

I learned a lot!

By 丁俊南

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May 11, 2016

Very good course

By Roshan S

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Jan 6, 2016

Excellent course

By Nicolas B d S

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Nov 9, 2022

Excelente curso

By Marcos B C (

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Feb 24, 2016

Very-very good!

By Nitin S

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Feb 7, 2016

Awesome Course!

By M L

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Jan 3, 2016

Amazing course!