Add Logistic Regression Algorithm for Machine Learning

[ngtduc693]

Summary

Logistic Regression is a core algorithm in machine learning and is commonly used for binary classification problems. Adding this implementation increases the educational value and completeness of the repository for AI/ML learners.

Unit Test Evidence

Build passed 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 96.65%. Comparing base (a361c66) to head (869b8cb).
⚠️ Report is 1 commits behind head on master.

Additional details and impacted files

@@            Coverage Diff             @@
##           master     #540      +/-   ##
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+ Coverage   96.64%   96.65%   +0.01%     
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  Files         277      278       +1     
  Lines       10883    10927      +44     
  Branches     1544     1552       +8     
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+ Hits        10518    10562      +44     
  Misses        232      232              
  Partials      133      133              

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[Copilot]

Pull Request Overview

This PR adds a Logistic Regression implementation for binary classification to the machine learning algorithms collection. The implementation provides a core supervised learning algorithm commonly used for binary classification problems, enhancing the educational value of the repository.

Key changes:

• Implementation of LogisticRegression class with gradient descent training
• Comprehensive test suite covering edge cases and functionality validation
• Documentation update in README to include the new algorithm

Reviewed Changes

Copilot reviewed 3 out of 3 changed files in this pull request and generated 2 comments.

File	Description
README.md	Added entry for Logistic Regression in the Machine Learning algorithms section
Algorithms/MachineLearning/LogisticRegression.cs	Core implementation with fit, predict, and probability methods using gradient descent
Algorithms.Tests/MachineLearning/LogisticRegressionTests.cs	Complete test suite covering validation, training, and prediction scenarios

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[siriak]

Looks good, thanks!