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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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776 - 800 of 1,000 Reviews for Machine Learning: Regression

By Saeed M

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Sep 21, 2017

great!

By Cuiqing L

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Jan 28, 2017

great!

By 병진 김

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May 24, 2016

good!!

By Volodymyr L

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Mar 6, 2016

Super!

By Xiaoyang G

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Jan 11, 2016

Thanks

By soroush p

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Aug 21, 2022

best!

By Vyshnavi G

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Jan 23, 2022

super

By Prabal G

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Oct 20, 2020

great

By Md. T U B

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Aug 26, 2020

great

By SUJAY P

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Aug 21, 2020

great

By Subhadip P

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Aug 4, 2020

great

By Douba J

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May 30, 2020

YEAHH

By emmanuel p

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Aug 4, 2019

great

By 李真

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Feb 20, 2016

Great

By Sarthak

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Oct 22, 2024

good

By D P R

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Oct 5, 2023

cool

By Kumar G

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Mar 20, 2023

GOOD

By Vaibhav K

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Sep 20, 2020

good

By YASA S K R

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Aug 31, 2020

good

By ANKAN M

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Aug 16, 2020

nice

By Saurabh A

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Jul 19, 2020

good

By Keyur M

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Jun 9, 2020

good

By Vaibhav S

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May 16, 2020

Good

By Vansh S

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May 10, 2019

nice

By 王曾

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Sep 26, 2017

good