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

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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

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 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

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351 - 375 de 984 revisiones para Machine Learning: Regression

por Jorge S N

22 de feb. de 2016

I liked very much the way this course is structured. Simple and complete. Very well done.

por Wang L

21 de ene. de 2016

An Excellent Course, that is able to provide insight and deep understanding about Regression.

por Popovics L

29 de dic. de 2015

Harder than the previous course, but helps to understand machine learning regression in deep.

por Leonardo L

13 de sep. de 2020

Really extensive course, showing many algorithms, applications and techniques of regression.

por Deleted A

21 de nov. de 2016

Excellent course. Concepts are explained clearly and the exercises reinforce understanding.

por Arash A

26 de oct. de 2016

Practical course complete with great content, assignment, and everything else that you need.

por Saurabh S

21 de oct. de 2016

Course made me understand elastic net(lasso+ridge) which helped me in my modelling project

por Med N

10 de ene. de 2016

One of the best courses I have taken!

Very good balance of depth and breadth of the material.

por Thomas E

12 de may. de 2016

A bit to easy to get through the exercises but otherwise very enlightening and inspirering.

por Anas E

1 de mar. de 2021

The teacher was really amazing. I liked how clear she was explaining some complex concepts

por Amit K M

27 de nov. de 2020

Excellent contents and videos.... I will encourage all to do this course specialization...

por Rahma A

31 de mar. de 2020

Very informative and detailed, one of the best machine Learning courses i have ever taken!

por Guomao X

20 de sep. de 2016

the material is solid and using python is a good way to learn machine learning programming

por Steven R

14 de ago. de 2016

Great introduction to Regression, would recommend to anyone looking to make a start in ML.

por Ingrid B

12 de ago. de 2016

Really excellent guided course. Well explained and very useful exercises. Highly recommend

por Marnix W

22 de mar. de 2016

Great course well taught. Amazed about the in depth course material and practices. Thanks!

por Peter G

26 de feb. de 2016

Excellent presentation of fundamental concepts and good overview of some specific methods.

por JONATHAN F G H

15 de mar. de 2021

I learned a lot about regression, I am going to enroll in the next course very motivated.

por Jhonatan J

1 de feb. de 2016

great course, I learned a lot. Videos, slides, quiz, programming exercises, a lot of fun.

por Suoyuan S

21 de ene. de 2016

Good course, but could improve the quiz. Currently the quiz are too easy for ML learners.

por Dr. R K M

20 de ene. de 2021

excellent course for boosting the knowledge in the area of machine learning (Regression)

por Harshavardhan N

8 de may. de 2020

It was really a great experience for me. The content in this course are really in-depth.

por Alejandro T

4 de dic. de 2016

Very thorough course and very approachable much better than course one of specialization

por misuzukira

29 de dic. de 2015

professors are outstanding.I can easily get access to what they teach,thanks for your ha

por Christopher S

3 de ago. de 2017

Great course. Heavy on the math but could use a little more on the implementation side.