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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：

676 - Machine Learning: Regression 的 700 个评论（共 1,001 个）

创建者 Deepa K

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May 6, 2018

excellent content

创建者 Erik E

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Mar 15, 2018

Very good course.

创建者 Jonathan H

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May 20, 2017

Excellent course!

创建者 Andrei U

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Jun 26, 2016

Very good course.

创建者 Carlos L

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Jun 10, 2016

Excellent course!

创建者 ASHUTOSH K

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Oct 28, 2024

very good course

创建者 SUGUNA M

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Nov 18, 2020

Excellent course

创建者 PAVITHRA B

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Sep 28, 2020

EXCELLENT COURSE

创建者 Gaurav K

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Sep 16, 2020

very good course

创建者 Sukhvir S

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Jul 17, 2020

Great Experience

创建者 MOHIT K

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May 5, 2020

excellent course

创建者 KVD S

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Apr 21, 2020

very nice course

创建者 Jerome Z

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May 21, 2018

Very good class!

创建者 Vineet J

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Jan 30, 2017

excellent course

创建者 TaeKiJeong

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Jan 12, 2017

The Best lecture

创建者 Pradeep M

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Jan 9, 2017

Simply brilliant

创建者 Chandima

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Dec 26, 2016

Fantastic course

创建者 Douglas P

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Oct 29, 2016

Excelent course!

创建者 André F d A F C

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Jul 25, 2016

I learned a lot!

创建者 丁俊南

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May 11, 2016

Very good course

创建者 Roshan S

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Jan 6, 2016

Excellent course

创建者 Nicolas B d S

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Nov 9, 2022

Excelente curso

创建者 Marcos B C (

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Feb 24, 2016

Very-very good!

创建者 Nitin S

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Feb 7, 2016

Awesome Course!

创建者 M L

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Jan 3, 2016

Amazing course!