Chevron Left
Volver a Machine Learning: Regression

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

4.8
estrellas
5,486 calificaciones

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

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

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!

Filtrar por:

1 - 25 de 986 revisiones para Machine Learning: Regression

por Ernie M

25 de sep. de 2017

por Kelsey H

1 de mar. de 2020

por Rohan G L

29 de ago. de 2020

por Pantelis H

7 de abr. de 2016

por Chase M

26 de ene. de 2016

por Ferenc F P

10 de ene. de 2018

por Gowtham A B

8 de oct. de 2020

por Leonardo D

28 de oct. de 2018

por Jafed E G

6 de jul. de 2019

por Konduri V

25 de dic. de 2018

por Pau D

17 de mar. de 2016

por Jeyanthi T

11 de ago. de 2018

por Hiral P

9 de oct. de 2018

por Gabriele P

16 de abr. de 2019

por Robert K

14 de ago. de 2020

por Rajib D

5 de sep. de 2019

por Prasad B D

15 de ene. de 2016

por Theo L

5 de ene. de 2016

por Patrick M

1 de feb. de 2016

por Carlos D M

18 de ene. de 2016

por Havan A

13 de mar. de 2016

por Phil B

29 de ene. de 2018

por David M

8 de sep. de 2017

por Sean S

18 de feb. de 2018

por Craig B

29 de nov. de 2016