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Voltar para Machine Learning: Regression

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

4.8
estrelas
5,290 classificações
987 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

PD
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!

KM
4 de Mai de 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

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576 — 600 de 954 Avaliações para o Machine Learning: Regression

por Nicolas T

18 de Dez de 2015

Best Machine learning mooc !!!

por Israel d S R d A

18 de Fev de 2020

Great course very recommended

por Harsh C

17 de Out de 2019

Teaches me lots of new things

por Lanqing B

26 de Set de 2017

Well structured and designed.

por 林玮

24 de Out de 2016

这门课提供了一个新的角度,从而使我更深刻地理解了回归预测。

por 江智彬

27 de Fev de 2016

The teachers are very funny !

por Vijai K S

7 de Dez de 2015

It is a very thorough course.

por Yash A

20 de Mai de 2020

Simply the best course ever.

por Xi C

21 de Mai de 2019

Very intuitive explanations!

por Nikhil P

1 de Mai de 2019

Great course, great material

por Jorge C

17 de Dez de 2017

Very good indepth expanation

por Mithilesh K S

22 de Out de 2017

awesome approach of teaching

por Dzmitry D

6 de Jan de 2016

Thank you! It was fantastic!

por Hanna L

12 de Ago de 2019

Thanks for the great class!

por JOSE R

18 de Nov de 2017

Very well explained. Thanks

por Unknown U

4 de Jun de 2016

Great course. Thanks a lot.

por Jose A V

18 de Dez de 2015

A great course!!! Thanks...

por Sachin J P

15 de Out de 2020

It was a very good course.

por Feng G

28 de Jun de 2018

Thank you very much Emily!

por Serge K

5 de Fev de 2018

Emily is a great lecturer!

por Naveed A

18 de Abr de 2016

Best Teachers, Best Course

por Zhihui X

19 de Fev de 2016

Great course!!! Thank you.

por Alejandro G L

17 de Jan de 2016

It is an excellent course.

por Chitrang T

30 de Dez de 2015

This is a very good course

por Manjunath B

25 de Fev de 2020

Very good course content,