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Voltar para Machine Learning: Regression

Comentários e feedback de alunos de Machine Learning: Regression da instituição Universidade de Washington

5,215 classificações
976 avaliações

Sobre o curso

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....

Melhores avaliações

4 de Mai de 2020

Excellent professor. Fundamentals and math are provided as well. Very good notebooks for the’s just that turicreate library that caused some issues, however the course deserves a 5/5

16 de Mar de 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!

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851 — 875 de 944 Avaliações para o Machine Learning: Regression

por J G

8 de Jul de 2018

It is a good course, it is really challenging learning how to do it from scratch.

por Steve M

17 de Nov de 2016

A good course overall. at time, the programming assignment is somewhat confusing.

por sandeep d

19 de Ago de 2020

nice theoretical , it would be better if you teach the given notebook examples

por Mridul C

20 de Jul de 2020

It would have been better if the coding part was also covered in videos only.


30 de Out de 2020

좋은 내용, 자세하고 친절한 설명, 적절한 난의도가 좋았습니다. 다만, 일부 모듈이 윈도우10 환경에서 사용하기 어려운 경우가 있습니다.

por J N B P

5 de Out de 2020

A really good course which covers the complete concepts of regression models

por Saad

23 de Jun de 2016

Great introductory course for regression analysis and very practical indeed!

por Rafał P

11 de Out de 2020

Turicreate is a bit confusing. Especially, while having Graphlab in videos

por Sourabh S

22 de Mar de 2017

Course covers in depth many topics. Only some issues with using Pandas.

por Aditya S

17 de Jul de 2016

Good to have deep insight into regression and various popular algorithm

por Paillard C

8 de Abr de 2020

Good introduction, very good for basic understanding, but lacks depth.

por Patrick M d F

5 de Jul de 2019

Excellent trad-off between theory, algorithims and practical examples

por Nipun G

21 de Abr de 2019

Please get rid of SFrame and graphlab. However, professor is awesome!

por Andrej

13 de Nov de 2016

Very good course, going through plenty of used regression techniques.


26 de Abr de 2020

Too much theory intensive. Should have more practical approaches

por 陈佳艺

30 de Abr de 2017

Maybe because I am a graduate student,it seems a little lengthy.

por Xiaofeng H

4 de Out de 2016

Hope can recommend some reading materials for some theory parts.

por Farmer

28 de Jun de 2018

Very interesting course, but the assignment is a bit too easy.

por Srinivas C

12 de Ago de 2018

This course provided deep insights on regression concepts

por Markus M

10 de Fev de 2016

Good structure, but maybe a bit too basic and slow pace.

por M.sakif m

8 de Jan de 2016

Very thorough and challenging class.Highly recommended.

por Vinay V

28 de Jan de 2016

This course is so well structured and the is awesome

por Yegwende

8 de Fev de 2016

Learn more about linear regression, ridge and so on.

por Mohinish N

22 de Mar de 2018

Gives good abstraction of underlying algorithm.

por Rushikesh M N

19 de Nov de 2019

Detailed derivation, Loved the way they teach.