Chevron Left
Voltar para Machine Learning: Regression

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

4.8
estrelas
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

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 Mai 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

Filtrar por:

526 — 550 de 953 Avaliações para o Machine Learning: Regression

por Raul O

25 de Mar de 2016

Incredible course!

I totally recommend it

por Bingnan L

24 de Dez de 2015

Very good, good practise! Good lectures!

por Fernandes M R

3 de Out de 2020

This was the most difficult I ever had.

por Tushar S

16 de Mai de 2020

One of the best course I've ever taken.

por Ismael F

27 de Set de 2016

One of the best course that i did it :)

por Moayyad A Y

17 de Abr de 2016

best regression course , full details .

por Rishu R

6 de Out de 2019

One of the best hands on course on ML.

por Wei-Chung C

25 de Mar de 2018

Excellent course! Learn a lot. Thanks!

por Garvish

14 de Jun de 2017

Great Information and organised course

por Priyesh R

12 de Nov de 2016

Awesome course and awesome instructor.

por Darryl L

27 de Out de 2016

good, also explained greatly in detail

por David E

13 de Jun de 2016

great class. Challenging but worth it.

por Fabricio N

27 de Mar de 2016

Best course in data science out there.

por Venkata D

29 de Dez de 2015

Great material, homeworks and teaching

por Pawan Y

1 de Dez de 2019

A Very good course for ML regression.

por Juncheng P

7 de Mar de 2017

a very detailed courses on regression

por Hongkun Z

7 de Fev de 2016

Best online course about regression.

por Kishwar K

6 de Fev de 2016

Highly recommended. Perfect Course..

por Shashank G

20 de Mai de 2018

Excellent course with good hands-on

por Dennis S

24 de Ago de 2017

Thank you for this great course! :)

por rahul b

14 de Jun de 2017

Best Machine Learning Course ever..

por phongdk

13 de Abr de 2017

Very insightful and exciting course

por Yihong C

31 de Mar de 2016

wonderful explanation of regression

por Syed T S

21 de Mai de 2020

Very Detailed Course on Regression

por Manish k

13 de Mai de 2020

very detailed and intuative course