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
5,503 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:

251 - 275 de 987 revisiones para Machine Learning: Regression

por Leonardo F M

7 de jul. de 2021

por Saransh A

12 de oct. de 2016

por Bhavesh G

3 de abr. de 2020

por Anirudh N

8 de ene. de 2017

por vishnu v

2 de ene. de 2016

por Jane T

30 de jun. de 2017

por 戴维

6 de mar. de 2016

por Leandro L R

12 de may. de 2018

por Nicolas P L

13 de jul. de 2020

por Yashaswi P

13 de sep. de 2018

por Md F A

11 de nov. de 2019

por Hemant V G

14 de mar. de 2016

por Sathiraju E

31 de oct. de 2018

por Bharath K M

19 de jul. de 2020

por Harley J

18 de jul. de 2017

por Joanna L

14 de mar. de 2016

por Xavi R

14 de may. de 2020

por Aayush A

12 de jul. de 2018

por Maria Z

27 de dic. de 2017

por Michele P

23 de ago. de 2017

por Ali A

5 de mar. de 2016

por Pranas B

18 de mar. de 2016

por Jacob M L

1 de mar. de 2016

por surendar r

23 de dic. de 2018

por Abe E

28 de abr. de 2017