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

4.8
stars
5,574 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!

KM

May 5, 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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701 - 725 of 1,000 Reviews for Machine Learning: Regression

By Abbas K

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Aug 13, 2020

Thanks for all

By Neemesh J

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Oct 26, 2019

Awesome course

By Yufeng X

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Jun 14, 2019

Best lectures!

By Belal M

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Oct 13, 2017

perfect course

By Pankaj S

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Oct 20, 2019

Great Course.

By VITTE

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Jun 9, 2018

Great course.

By Suneel M

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May 9, 2018

Excellent cou

By Lyu Y

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Oct 24, 2017

Great Courses

By Binil K

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Jul 4, 2017

nice course!!

By Tomas K

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Jan 27, 2017

Great course!

By Anaís G

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Apr 22, 2016

great course!

By Phan T B

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Apr 18, 2016

Great course!

By 丁柏楠

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Jul 28, 2020

Very useful.

By Manikant R

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Jun 18, 2020

Great Course

By Matthew S

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Feb 13, 2020

Great class!

By Weilin C

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Jan 27, 2018

very helpful

By Isura N

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Dec 28, 2017

WOW I got it

By Liekens W

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Jan 31, 2017

Great course

By Shubham J

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Jan 14, 2017

Great Course

By 邓松

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Dec 6, 2016

very helpful

By Xiaowei L

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Oct 14, 2016

great course

By Leonardo J T G

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Aug 23, 2016

The best !!

By Andrey B

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Jun 13, 2016

Thank you!!!

By Haolei F

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Apr 16, 2016

great class!

By Tamir Z

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Mar 17, 2016

Great course