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学生对 University of Washington 提供的 Machine Learning: Regression 的评价和反馈

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5,581 个评分

课程概述

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....

热门审阅

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

EV

Jun 24, 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!

筛选依据：

726 - Machine Learning: Regression 的 750 个评论（共 1,001 个）

创建者 Tianyuan L

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Feb 27, 2016

Great Course

创建者 Haitham S S S

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Jan 16, 2016

Spectacular!

创建者 Siddharth V B

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Nov 29, 2020

good CoUrSe

创建者 Velpula M K

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Nov 6, 2019

Good Course

创建者 Pavel P

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Jan 6, 2018

Just great!

创建者 Do A T

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Oct 26, 2017

very useful

创建者 nazar p

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May 6, 2017

good stuff.

创建者 Gaston F

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Oct 1, 2016

Fine course

创建者 Carlos M

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Mar 17, 2016

good course

创建者 Thuong D H

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Mar 4, 2016

Good course

创建者 gangan

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Dec 31, 2015

Impressive!

创建者 Hany E

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Oct 14, 2019

Thank you!

创建者 Genyu Z

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Aug 19, 2019

It's good!

创建者 Fabricio F

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Jun 13, 2017

Excellent!

创建者 Erkan E

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May 19, 2017

Fantastic!

创建者 Tural I

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Apr 29, 2017

Just Great

创建者 Saheer K

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Sep 11, 2016

Execellent

创建者 zhenyue z

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Jun 1, 2016

good class

创建者 Pedro V H S

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Mar 9, 2016

I loved it

创建者 Chen Y

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Feb 18, 2016

Insightful

创建者 Amit T

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Jan 30, 2016

Excellent!

创建者 Lion F P d S

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Jan 4, 2016

Excelente!

创建者 Rida Z

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Jan 21, 2023

Excellent

创建者 NAGARAJAN M M

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Oct 22, 2021

Wonderful

创建者 Anitha V

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Jul 5, 2021

excellent