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Implementation of a linear regression algorithm to solve for a best fit line. Uses java

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ML-linear-regression

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Implementation of a linear regression algorithm to solve for a best fit line. This program generates a random set of quazi-linear data and fits two parameters (a and b) to produce a fitted line of the form f(x) = a + bx.

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Java

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Implementation of a linear regression algorithm to solve for a best fit line. Uses java

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  • Java 100.0%