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Voltar para Machine Learning: Regression

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

5,286 classificações
986 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

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!

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

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676 — 700 de 953 Avaliações para o Machine Learning: Regression

por Pankaj S

20 de Out de 2019

Great Course.


9 de Jun de 2018

Great course.

por Suneel M

9 de Mai de 2018

Excellent cou

por Lyu Y

24 de Out de 2017

Great Courses

por Binil K

4 de Jul de 2017

nice course!!

por Tomas K

26 de Jan de 2017

Great course!

por Anaís G

22 de Abr de 2016

great course!

por Phan T B

18 de Abr de 2016

Great course!

por Ding B

28 de Jul de 2020

Very useful.

por Manikant R

18 de Jun de 2020

Great Course

por Matthew S

12 de Fev de 2020

Great class!

por Weilin C

26 de Jan de 2018

very helpful

por Isura N

28 de Dez de 2017

WOW I got it

por Liekens W

31 de Jan de 2017

Great course

por shubham j

14 de Jan de 2017

Great Course

por 邓松

6 de Dez de 2016

very helpful

por Xiaowei L

14 de Out de 2016

great course

por Leonardo J T G

22 de Ago de 2016

The best !!

por Andrey B

13 de Jun de 2016

Thank you!!!

por Haolei F

16 de Abr de 2016

great class!

por Tamir Z

17 de Mar de 2016

Great course

por Tianyuan L

27 de Fev de 2016

Great Course

por Haitham S

16 de Jan de 2016


por Siddharth V B

29 de Nov de 2020

good CoUrSe

por Velpula M K

6 de Nov de 2019

Good Course