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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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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

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!

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!

筛选依据：

776 - Machine Learning: Regression 的 800 个评论（共 1,001 个）

创建者 Saeed M

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Sep 21, 2017

great!

创建者 Cuiqing L

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Jan 28, 2017

great!

创建者 병진 김

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May 24, 2016

good!!

创建者 Volodymyr L

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Mar 6, 2016

Super!

创建者 Xiaoyang G

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Jan 10, 2016

Thanks

创建者 soroush p

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Aug 21, 2022

best!

创建者 Vyshnavi G

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Jan 23, 2022

super

创建者 Prabal G

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Oct 20, 2020

great

创建者 Md. T U B

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Aug 26, 2020

great

创建者 SUJAY P

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Aug 21, 2020

great

创建者 Subhadip P

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Aug 4, 2020

great

创建者 Douba J

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May 30, 2020

YEAHH

创建者 emmanuel p

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Aug 4, 2019

great

创建者 李真

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Feb 19, 2016

Great

创建者 Sarthak

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Oct 22, 2024

good

创建者 D P R

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Oct 5, 2023

cool

创建者 Kumar G

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Mar 20, 2023

GOOD

创建者 Vaibhav K

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Sep 20, 2020

good

创建者 YASA S K R

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Aug 31, 2020

good

创建者 ANKAN M

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Aug 16, 2020

nice

创建者 Saurabh A

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Jul 19, 2020

good

创建者 Keyur M

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Jun 9, 2020

good

创建者 Vaibhav S

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May 16, 2020

Good

创建者 Vansh S

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May 10, 2019

nice

创建者 王曾

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Sep 25, 2017

good