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Linear Regression Errors - Intro to Machine Learning

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    A very good question you might be asking at this point is how to
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    evaluate your linear regression.
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    One of the obvious things that you can do is visualize the regression on top of
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    your scatter points.
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    Another thing you can do is you can look at the errors that your
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    linear regression makes.
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    By errors, I don't mean mistakes, not exactly.
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    What I mean by errors is something like this.
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    Suppose I have my age and net worth data.
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    And it will be following along in some pattern, although not perfectly linear.
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    I fit my line to it.
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    And this fit is going to have associated errors.
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    In this context, errors is a technical term and that's the difference in
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    this example between the actual net worth of a particular person and
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    the net worth that's predicted by our regression line.
Title:
Linear Regression Errors - Intro to Machine Learning
Description:

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Video Language:
English
Team:
Udacity
Project:
ud120 - Intro to Machine Learning
Duration:
0:54

English subtitles

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