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Machine Learning: Regression(으)로 돌아가기

워싱턴 대학교의 Machine Learning: Regression 학습자 리뷰 및 피드백

4.8
4,548개의 평가
850개의 리뷰

강좌 소개

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....

최상위 리뷰

PD

Mar 17, 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!

CM

Jan 27, 2016

I really like the top-down approach of this specialization. The iPython code assignments are very well structured. They are presented in a step-by-step manner while still being challenging and fun!

필터링 기준:

Machine Learning: Regression의 821개 리뷰 중 326~350

교육 기관: Alejandro T

Dec 04, 2016

Very thorough course and very approachable much better than course one of specialization

교육 기관: misuzukira

Dec 29, 2015

professors are outstanding.I can easily get access to what they teach,thanks for your ha

교육 기관: Christopher S

Aug 03, 2017

Great course. Heavy on the math but could use a little more on the implementation side.

교육 기관: YASHKUMAR R T

Mar 24, 2019

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

교육 기관: Refael J

Dec 23, 2018

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

교육 기관: Dmitri T

Apr 25, 2016

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

교육 기관: James D

Apr 09, 2016

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

교육 기관: Arthur Z

Feb 24, 2017

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

교육 기관: Jifu Z

Jul 23, 2016

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

교육 기관: Nihar S

Apr 21, 2016

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

교육 기관: Rajkumar K

May 27, 2017

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

교육 기관: Soumya

Mar 05, 2016

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

교육 기관: Lim D K

Feb 15, 2017

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

교육 기관: Sam S

Nov 23, 2016

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

교육 기관: Alex K

Jan 18, 2016

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

교육 기관: Amar P R

Oct 14, 2016

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

교육 기관: Ade I

May 07, 2016

A very well taught course.

Also very good instructors.

I really enjoyed this course.

교육 기관: Dhruvil S

Nov 03, 2017

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

교육 기관: 李紹弘

Aug 04, 2017

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

교육 기관: Konstantinos P

Feb 14, 2017

Generally, very organized and helpful course.

The video presentations are perfect!

교육 기관: Jennifer H

Apr 14, 2016

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

교육 기관: Shikhar V

Mar 07, 2016

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

교육 기관: Rashi K

Dec 28, 2015

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

교육 기관: SATYAM S

Mar 02, 2016

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

교육 기관: Zhongkai M

Feb 12, 2019

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