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Opiniones y comentarios de aprendices correspondientes a Machine Learning: Regression por parte de Universidad de Washington

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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....

Principales reseñas

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 may. 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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751 - 775 de 988 revisiones para Machine Learning: Regression

por Sabyasachi D

•

19 de may. de 2017

Loved it!

por Sanjay A

•

11 de abr. de 2017

Very good

por Pradeep N

•

14 de ago. de 2016

super one

por Ling J

•

2 de ago. de 2016

这门课程很好的啊。

por Kumiko K

•

5 de jun. de 2016

The best!

por Andrew M

•

29 de mar. de 2016

Fantastic

por Gopika K

•

2 de nov. de 2021

Superb!!

por Bruno R M

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1 de feb. de 2018

Awesome!

por Badrinath J

•

3 de may. de 2016

The best

por Aniruddha B

•

13 de feb. de 2016

Superb!!

por Junyong

•

6 de abr. de 2021

감사합니다~!

por Anshumaan K P

•

11 de nov. de 2020

COOL XD

por Fakhre A

•

9 de may. de 2018

Awesome

por Om P

•

11 de may. de 2017

awesome

por VYSHNAVI P

•

13 de dic. de 2021

better

por James R

•

16 de oct. de 2019

G

r

e

a

t

!

por Tariq H

•

3 de oct. de 2017

Thanks

por Saeed M

•

21 de sep. de 2017

great!

por Cuiqing L

•

28 de ene. de 2017

great!

por 병진 김

•

24 de may. de 2016

good!!

por Volodymyr L

•

6 de mar. de 2016

Super!

por Xiaoyang G

•

10 de ene. de 2016

Thanks

por seyed s p

•

21 de ago. de 2022

best!

por VYSHNAVI G

•

23 de ene. de 2022

super

por Prabal G

•

20 de oct. de 2020

great

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