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Outliers in Regression Quiz - Intro to Machine Learning

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    So just to practice a little bit more, I'm going to give you a second example.
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    You're trying to predict the price of a house.
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    Again, assume two input features, the size of the house and
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    the age of the house.
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    The house could be brand new, or older, perhaps all the way up to 40 years.
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    And the size in square feet might be 500, 1,000, or 1,500.
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    And obviously any value in between those numbers makes sense in regression.
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    But for the sake of this exercise I want to assume these exact numbers that I
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    graphed over here.
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    Further, I want to call size X1 and age X2, and the house price is called Y.
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    So, my result would be of the type Y equals some number
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    times x1 plus some other number times x2 plus some constant.
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    So let me fill in the numbers, and this example is also a little bit
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    contrived in that you can get an exact answer for those coefficients.
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    But, try to do it in your head.
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    And see how far you get.
Title:
Outliers in Regression Quiz - Intro to Machine Learning
Description:

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Video Language:
English
Team:
Udacity
Project:
ud120 - Intro to Machine Learning
Duration:
0:58

English subtitles

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