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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


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!


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

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326 - 350 de 984 revisiones para Machine Learning: Regression

por Arnold A

6 de may. de 2017

It is really useful and an eye-opening course, especially if you are interested in machine learning.

por Taehee J

13 de sep. de 2016

I like this course since it teaches the fundamental concept of regression with hands-on programming.

por Yin X

9 de sep. de 2017

Best course I have had so far on regression at Coursera. Thaaaaaank you Coursera and Washington U!

por Milan C

10 de abr. de 2017

Very nice course. The course gave me a good overview in how deep you can dive even with regression.

por juan f r s

15 de may. de 2016

Excelent course and very well explained. Many thanks to both of you Emily and Carlos. All the best

por Ramesh K

6 de mar. de 2016

Lectures and assignments were awesome thanks to the professor for making this easier to understand.

por Tahereh R

2 de abr. de 2019

Thorough explanations of the essential concepts are provided! Valuable course and lectures.


por Shalini S K

18 de abr. de 2016

Great course! The course material was very well designed. Carlos and Emily are excellent teachers.

por Nguyen T V

17 de ene. de 2016

It's very interesting and challenging course, especially at the end. Thank you for your knowledge!

por Matthew M

5 de ene. de 2016

This course is an ideal mixture of theory, practical application, and coding. I really enjoyed it.

por Rui W

16 de jul. de 2016

Some practical skill and some theoretical knowledge are bought to me. I am so glad to enjoy them.

por Stefano T

10 de feb. de 2016

Very interesting course showing in a clear and easy to follow way the key concepts of Regression.

por Omar B

1 de feb. de 2017

Great course !

The best thing is when Emily talks about the intuition of each model or algorithm.

por Rafael A

22 de feb. de 2016

Once more, excellent delivery by Emily and Carlos. Looking forward to the classification course.

por Nagendra B R

25 de jun. de 2020

excellent course on regression. each and every concept is clear and in depth.Thank you Coursera

por 쥬

24 de may. de 2016

This course helped me a lot to understand regression. Now I can apply this idea to my own work.

por Michaël L

30 de mar. de 2016

Excellent course with lots of hands on !

The teacher is excellent and provide clear explanation.

por Bokai C

21 de mar. de 2016

Excellent Lectures!

Suggestions: homework results should be more representative and distinctive.

por Med A D

16 de jul. de 2021

Awesome course thank you so much for this valuable informations and good comprehinsive content

por Chengye Z

27 de nov. de 2016

It's a very helpful course. I really have leart a lot, by both watching video and programming.

por uma m r m

13 de jul. de 2018

The best course, I feel better and confident at regression concepts by the end of the course.

por Jose P

25 de jun. de 2016

Really good course. Professors are incredible. Very dynamic. The notes and videos are superb.

por Aparajita K

14 de jun. de 2016

All the mathematical details are very precisely and very well explained starting from basics.

por Yinan W

3 de may. de 2016

A very good course. Glad all the assignments are also compatible with pandas and scikit-learn

por Misha S

28 de feb. de 2016

Exceptionally well organized, fun and full of useful content. Bravo to the course organizers!