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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

PH

Apr 6, 2016

This is an excellent course. The presentation is clear, the graphs are very informative, the homework is well-structured and it does not beat around the bush with unnecessary theoretical tangents.

筛选依据：

651 - Machine Learning: Regression 的 675 个评论（共 1,001 个）

创建者 Jarun N

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Dec 22, 2015

concise and practical

创建者 RAVINDRA K S

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Sep 23, 2020

Nice course.........

创建者 jun l

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Mar 8, 2016

the course is great!

创建者 Antonio d R

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Jan 7, 2016

It's a great course.

创建者 Saleh S

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Mar 13, 2022

It is all you need!

创建者 Abdullah A F

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May 9, 2020

I have learnt a lot

创建者 Kritartha G

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Jan 7, 2020

Really great course

创建者 Akash G

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Mar 9, 2019

regression best now

创建者 Itrat R

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Jan 22, 2017

Excellent Course!!!

创建者 Georgios

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Oct 3, 2016

Absolutely amazing.

创建者 Roger S

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Sep 3, 2016

This Course is COOL

创建者 Nelson M M R

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Jul 21, 2016

Thanks, Amaizing !!

创建者 John L

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Apr 10, 2016

Good for everybody!

创建者 Jinho L

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Mar 2, 2016

Very good examples.

创建者 Jie G

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Jan 12, 2016

So love you guys!!!

创建者 CHANDAN K

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May 28, 2021

It awesome course.

创建者 Rohit

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Aug 2, 2020

very useful course

创建者 Dr C B M J U

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Jun 8, 2020

Best lectures ever

创建者 AJAY K

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Oct 13, 2019

Excellent Tutorial

创建者 Lucifer Z

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Jul 4, 2019

awesome ML course!

创建者 Rahul R

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Dec 31, 2017

Awesome Course!!!!

创建者 Chencheng X

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Feb 21, 2016

Really good course

创建者 Jair d M F

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Jan 7, 2016

Very cool. Thanks!

创建者 강금규

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Mar 8, 2021

Excellent class!!

创建者 Akash R

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May 18, 2020

fun with the task