Linear Regression Algorithm In Machine Learning

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Linear Regression Algorithm In Machine Learning
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Table Of Content

1. What Is Linear Regression Algorithm ?
2. Why Is the Linear Regression Algorithm Important?
3. How Does Linear Regression Algorithm Work?
4. Applications Of Linear Regression Algorithm

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What Is Linear Regression Algorithm ?
In predicting the result of future activities, a
linear relationship between an independent and
dependent variable is provided by the linear
regression algorithm. It is a statistical
technique used in the predictive analysis in
data science and machine learning.
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Why Is the Linear Regression Algorithm Important?
In machine learning analysis, linear regression
is crucial for analyzing data and selecting a
clear relationship between two or more
variables. The dependent variable's modification
as the independent variable's value changes is
quantified by regression.
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How Does Linear Regression Algorithm Work?
The Train With AutoML tool uses the supervised
machine learning technique of linear regression
to select the most effective linear model that
captures the connection between the explanatory
factors and the dependent variable. This is done
using least squares to fit a line to the data.
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Applications Of Linear Regression Algorithm

• Medicine.
• Predicting outcomes.
• Least squares.
• Market analysis.
• Financial analysis.
• Sports analysis.
• Environmental health.
• Gradient descent.
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