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学生对 华盛顿大学 提供的 Machine Learning: Regression 的评价和反馈

4.8
5,480 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

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!

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

筛选依据:

376 - Machine Learning: Regression 的 400 个评论(共 984 个)

创建者 YASHKUMAR R T

Mar 24, 2019

The mathematical proof and concept given behind lasso and ridge regression is awesome.

创建者 Refael J

Dec 23, 2018

Very good course. The lecturer is very good and the information is very comprehensive.

创建者 Dmitri T

Apr 25, 2016

Great course and makes a solid practical foundation for regression. Really enjoyed it.

创建者 James D

Apr 9, 2016

Great instructors make this course one of the best I have taken. Thank you very much!!

创建者 Arthur Z

Feb 24, 2017

Top notch material presented in a really enjoyable manner. The professors are great.

创建者 Jifu Z

Jul 22, 2016

Good class, But it would be much better if the quiz is open to those who doesn't pay.

创建者 Nihar S

Apr 20, 2016

Great class that breaks down machine learning concepts into simple digestible pieces.

创建者 Raj

May 27, 2017

Course was made very intuitive & easy to understand with a case study based approach

创建者 Soumya

Mar 4, 2016

a little more details considering the the cost of the module would be appreciatiated

创建者 Dae K L

Feb 15, 2017

Good lecture, nice explanation for statics and machine learning and greate examples

创建者 Sam S

Nov 23, 2016

Good pace, thorough presentation, challenging but reasonable programming exercises.

创建者 Alex K

Jan 17, 2016

Very clear and visual explanations of the mathematics behind regression algorithms.

创建者 Amar P

Oct 14, 2016

very good quality course. Some more stress should be given to theoretical quizzes.

创建者 adeidowu@hotmail.com

May 7, 2016

A very well taught course.

Also very good instructors.

I really enjoyed this course.

创建者 Dhruvil S

Nov 3, 2017

Awesome Course. Best Course To Learn Regression Fundamentals Of Machine Learning.

创建者 李紹弘

Aug 4, 2017

This course gave me full concept of the technique of machine learning-Regression.

创建者 Konstantinos P

Feb 14, 2017

Generally, very organized and helpful course.

The video presentations are perfect!

创建者 Jennifer H

Apr 14, 2016

Excellent introduction to regression - filled in a lot of concepts that I needed!

创建者 Shikhar V

Mar 7, 2016

Very nice course! Every concept is explained in detail with proper illustrations.

创建者 Rashi K

Dec 28, 2015

This was a great course and had in depth insights on a single topic. Worth doing.

创建者 SATYAM S

Mar 2, 2016

This course was simply awesome. Professors have explained every concept so well.

创建者 Zhongkai M

Feb 12, 2019

It provided practical details the are not described to much in others' courses.

创建者 Dhanasekar S

Dec 31, 2016

Wonderfully organized and explained. Especially the Lasso and Ridge Regression!

创建者 Robert R

Jan 5, 2016

Just enough detail for beginners to provide a deep understanding of the subject

创建者 Enrique J A R

Dec 29, 2015

I enjoyed specially the part about performance assessment and cross validation.