Add Simple Linear Regression Algorithm

[ngtduc693]

Summary

This PR introduces a simple linear regression implementation to the repository. Linear regression is a fundamental supervised learning algorithm used to model the relationship between a scalar dependent variable and an independent variable.

Changes

• Implements univariate linear regression with detailed
• Provides methods to fit the model and predict new values.
• Includes comprehensive NUnit unit tests in to ensure correctness and edge case coverage.

Usage Example

var x = new List<double> { 1, 2, 3, 4 };
var y = new List<double> { 3, 5, 7, 9 };
var lr = new LinearRegression();
lr.Fit(x, y);
var prediction = lr.Predict(5); // returns 11.0

Unit Test Evidence

• I have performed a self-review of my code
• My code follows the style guidelines of this project
• I have added tests that prove my fix is effective or that my feature works
• New and existing unit tests pass locally with my changes
• Comments in areas I changed are up to date
• I have added comments to hard-to-understand areas of my code
• I have made corresponding changes to the README.md

[codecov]

Codecov Report

✅ All modified and coverable lines are covered by tests.
✅ Project coverage is 96.64%. Comparing base (d3652b1) to head (38e7a68).
⚠️ Report is 1 commits behind head on master.

Additional details and impacted files

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+ Coverage   96.62%   96.64%   +0.01%     
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  Files         274      275       +1     
  Lines       10824    10865      +41     
  Branches     1534     1541       +7     
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+ Hits        10459    10500      +41     
  Misses        232      232              
  Partials      133      133              

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[Copilot]

Pull Request Overview

This PR introduces a simple linear regression implementation for univariate analysis, providing a fundamental supervised learning algorithm to model relationships between scalar dependent and independent variables.

Key changes:

• Implements a complete LinearRegression class with fit and predict functionality
• Adds comprehensive unit tests covering edge cases and validation scenarios
• Updates documentation to include the new machine learning algorithm

Reviewed Changes

Copilot reviewed 3 out of 3 changed files in this pull request and generated 1 comment.

File	Description
README.md	Added entry for the new Linear Regression algorithm in the Machine Learning section
Algorithms/MachineLearning/LinearRegression.cs	Complete implementation of univariate linear regression with validation and prediction methods
Algorithms.Tests/MachineLearning/LinearRegressionTests.cs	Comprehensive unit tests covering normal operation and edge cases

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[siriak]

Looks good, thanks!