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

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Acerca del 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....

Principales reseñas


4 de may. 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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726 - 750 de 988 revisiones para Machine Learning: Regression

por Carlos M

18 de mar. de 2016

good course

por Thuong D H

4 de mar. de 2016

Good course

por gangan

1 de ene. de 2016


por Hany E

14 de oct. de 2019

Thank you!

por Genyu Z

19 de ago. de 2019

It's good!

por Fabricio F

13 de jun. de 2017


por Erkan E

20 de may. de 2017


por Tural I

29 de abr. de 2017

Just Great

por Saheer K

11 de sep. de 2016


por zhenyue z

1 de jun. de 2016

good class

por Pedro V H S

9 de mar. de 2016

I loved it

por Chen Y

18 de feb. de 2016


por Amit T

30 de ene. de 2016


por Lion F P d S

4 de ene. de 2016


por Rida Z

21 de ene. de 2023



22 de oct. de 2021


por Anitha V

5 de jul. de 2021


por Kalpana j

7 de may. de 2021


por Yuvraj R

5 de feb. de 2021


por Neha K

17 de sep. de 2020



16 de sep. de 2020


por Tavva S T

20 de jun. de 2020


por Dr. A S M M R

13 de jun. de 2020

very good

por Gaurav K J

22 de abr. de 2018

I want to

por FilippoV

3 de sep. de 2017

very good