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    <title>DEV Community: a14guguliye</title>
    <description>The latest articles on DEV Community by a14guguliye (@a14guguliye).</description>
    <link>https://dev.to/a14guguliye</link>
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      <title>Performing Linear Regression Using the Normal Equation in most simplified version</title>
      <dc:creator>a14guguliye</dc:creator>
      <pubDate>Sun, 04 Oct 2026 20:14:59 +0000</pubDate>
      <link>https://dev.to/a14guguliye/performing-linear-regression-using-the-normal-equation-in-most-simplified-version-25mo</link>
      <guid>https://dev.to/a14guguliye/performing-linear-regression-using-the-normal-equation-in-most-simplified-version-25mo</guid>
      <description>&lt;p&gt;I recently wrote a beginner-friendly article about performing linear regression using the Normal Equation.&lt;/p&gt;

&lt;p&gt;I tried to explain the idea step by step, starting with a simple question:&lt;/p&gt;

&lt;p&gt;If some coefficients can minimize the prediction error, how can we find them?&lt;/p&gt;

&lt;p&gt;From there, I introduced the Normal Equation and showed how the formula works:&lt;/p&gt;

&lt;p&gt;I also implemented the main matrix operations in Python instead of treating the formula as a black box.&lt;/p&gt;

&lt;p&gt;The goal was not only to use linear regression, but to understand what is happening behind the formula and how the mathematics connects to the code.&lt;/p&gt;

&lt;p&gt;If you are learning machine learning and want to understand linear regression from the basics, you may find the &lt;a href="https://medium.com/@worldwonders/performing-linear-regression-using-the-normal-equation-in-most-simplified-version-8f852bebded0" rel="noopener noreferrer"&gt;article &lt;/a&gt; useful.&lt;/p&gt;

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      <category>machinelearning</category>
      <category>linear</category>
      <category>linearregression</category>
      <category>linearalgebra</category>
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