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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

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

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!

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676 - 700 of 1,000 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 21, 2017

Excellent course!

By Andrei U

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Jun 27, 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 22, 2018

Very good class!

By Vineet J

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Jan 31, 2017

excellent course

By TaeKiJeong

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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 12, 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 10, 2022

Excelente curso

By Marcos B C (

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Feb 25, 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!