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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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476 - 500 of 1,001 Reviews for Machine Learning: Regression

By Andrew V G

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Jan 25, 2018

good level of rigor and the notebooks were very well done

By Minliang L

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Jun 7, 2017

Very detailed lectures and I've learned a lot. Thank you!

By g

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Aug 28, 2016

Intuitive and very helpful, great assignment not too hard

By Nilesh K

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Jul 18, 2016

very good coverage of a wide range of topics. impressive!

By Taylor N

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Jan 10, 2016

I really learned a lot about going above and beyond OLS.

By Mariano

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Mar 24, 2020

very hard and challeging course. learn a lot of topics.

By Liu S

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Nov 7, 2017

easy to learn! assignments are just at the right level!

By How T

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Oct 23, 2020

Lots of practical information. Assignments are great.

By zhengqian z

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Feb 1, 2017

Really good course, let me know a lot about the topic.

By Sudip C

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May 3, 2016

Very detailed, Liked optional sections also. Loved it.

By Christopher G

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Apr 9, 2016

One of the best courses I've taken in Machine Learning

By Antonio P L

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Dec 30, 2015

Fantastic course and really complete about regression.

By Enrique D

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May 26, 2017

Excellent course, challenging but very good learning!

By Bayu W

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Jan 17, 2016

Excellent course, learned a lot of valuable concepts.

By Tomasz J

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Jan 6, 2016

Excellent in depth dive into Regression! Great profs!

By Dip A

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Jul 13, 2020

THIS COURSE IS BEST TO LEARN ABOUT LINEAR REGRESSION

By Ankit

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Apr 9, 2020

MORE THAN ENOUGH TO KNOW ABOUT REGRESSION.

THANK YOU.

By Simon C

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Apr 6, 2020

This is a great course about regression for novices.

By Jack :

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Sep 25, 2017

Very in depth for someone looking to go into detail.

By sharecj

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May 13, 2017

The best machine learning course I have ever joined!

By fan c

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Apr 25, 2017

useful and easy to understand. Teacher is very nice.

By Shan-Jyun W

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Jul 3, 2016

Great teaching, great materials, and a great course!

By shahreyar

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Jun 19, 2020

Pretty amazing course! Had a lot of fun doing this.

By Le H N

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Jun 29, 2018

I gain many knowledge from this course . Excellent.