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

4.8
stars
5,538 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

PD

Mar 16, 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!

KM

May 4, 2020

Excellent professor. Fundamentals and math are provided as well. Very good notebooks for the assignments...it’s just that turicreate library that caused some issues, however the course deserves a 5/5

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401 - 425 of 993 Reviews for Machine Learning: Regression

By SATYAM S

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Mar 2, 2016

This course was simply awesome. Professors have explained every concept so well.

By zhongkai m

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Feb 12, 2019

It provided practical details the are not described to much in others' courses.

By Dhanasekar S

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Dec 31, 2016

Wonderfully organized and explained. Especially the Lasso and Ridge Regression!

By Robert R

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Jan 5, 2016

Just enough detail for beginners to provide a deep understanding of the subject

By Enrique J A R

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Dec 29, 2015

I enjoyed specially the part about performance assessment and cross validation.

By BHANWAR L

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Aug 19, 2020

Nice course quality content on videos of machine learining thanks for coursera

By Vaibhav O

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Jan 3, 2017

Excellent course on Regression! Must do for some serious hands on in the field

By Arghad A

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Jan 14, 2016

One of the best courses I've done ever... thank you Emily you are the best ...

By Miao J

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Dec 17, 2015

Great course, which offer you a very practical experience in machine learning!

By Abu M S K

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Apr 10, 2016

The instructors give beautiful explanations which make course fun and doable.

By Abdul B M

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Apr 5, 2020

Professors did the wonder. Really got some good stuff. Strongly recommended.

By Hongzhi Z

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Feb 5, 2018

Very Vivid and learn a lots, best AI specialization in Washington university

By Sandeep B S

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Aug 25, 2018

Great content from the professor, learning regression was very interesting

By Otto L

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Dec 15, 2021

The lab-sandbox is great. Maybe consider updating notebooks to Python 3.x.

By Farzin F

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Feb 6, 2017

One of the most awesome courses in Machine Learning, with awesome mentors.

By Biswa D

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Sep 27, 2016

Clearly illustrates the essential concepts to prep for more advanced stuff

By Daniel Z

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Mar 8, 2016

The most important aspects of regression are approached clear and precise

By WONG H L

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Jun 2, 2020

Good course. Good instructor. A nice balance between hands-on and theory.

By Suraj S G G

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Jan 7, 2018

This course is really very helpful as well challenging for the learrners.

By Prasant K S

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Jan 9, 2017

This is a fantastic course with lot of hands on programming applications.

By Mark T

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Jan 28, 2016

More excellent material presented and explained incredibly well. Thanks!

By Krisda L

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Jul 19, 2017

Great course. It covers a lot of regression techniques you should know.

By Ayan M

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Aug 8, 2016

Absolutely fantastic and pretty much enriching the knowledge. Thank you!

By Jerome G

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Jan 6, 2016

Thanks Emily and Carlos, it was a very great moment when light come in !

By Prakash M

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Feb 27, 2022

Concepts are clear, Neeto do deep dive on it. Thanks for the lecturers.