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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
5,255 classificações
982 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

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

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!

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551 — 575 de 949 Avaliações para o Machine Learning: Regression

por Cuong H

17 de Out de 2017

A great course! Thank you so much!

por Ahmed M M

7 de Set de 2016

awesome course, really i loved it

por Alexander S

7 de Fev de 2016

great, learning curve increasing.

por Jenhau C

30 de Mar de 2019

Great course! Very good insight!

por Fernando B

21 de Fev de 2017

Best Course on ML yet on the Web

por Matic D B

9 de Fev de 2016

Great and representative course.

por Sukwon O

5 de Dez de 2020

Learned a lot from this course.

por DEEP K S

30 de Ago de 2020

can you guys upgrade to python3

por Muhammad Z H

29 de Ago de 2019

Thanks Professor, I learnt alot

por Kunal T

19 de Dez de 2018

Extremely well designed course.

por Sanjay M

24 de Jun de 2017

Excellent foundational course .

por yuanfan p

18 de Jun de 2017

Concise. Hope for more content.

por TONGHONG C

14 de Jun de 2017

Best ML course I've ever taken!

por 易灿

28 de Nov de 2016

课程很生动,讲的也很详细!如果能提供些相关算法的资料就更好了!

por Konstantin G

8 de Fev de 2016

It's cool! I love your courses!

por Kim K L

3 de Jan de 2016

Great course ... learned a lot!

por Brian N

20 de Mai de 2018

Good to learn again this topic

por prabal k

23 de Ago de 2017

Very good flow of the content.

por Lionel T L

15 de Abr de 2017

complete, explicite, rich code

por Shiva R

20 de Nov de 2016

Concepts explained in detailed

por 童哲明

12 de Jun de 2016

Kernel regression还是有许多不太清楚的地方!

por Radomir N

21 de Fev de 2016

Very nice and engaging course!

por Katalin S

30 de Jan de 2016

Exceptionally well done course

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