feat: add Perceptron algorithm in machine learning

[Dcyaprogrammer]

Pull Request Template

Description

The Perceptron is a fundamental binary classification algorithm that learns a linear separator between two classes. It works by iteratively adjusting weights based on misclassified training examples until all data points are correctly classified

Type of change

-✅ New feature (non-breaking change which adds functionality)

Checklist:

• ✅ I ran bellow commands using the latest version of rust nightly.
• ✅ I ran cargo clippy --all -- -D warnings just before my last commit and fixed any issue that was found.
• ✅ I ran cargo fmt just before my last commit.
• ✅ I ran cargo test just before my last commit and all tests passed.
• ✅ I added my algorithm to the corresponding mod.rs file within its own folder, and in any parent folder(s).
• ✅ I added my algorithm to DIRECTORY.md with the correct link.
• ✅ I checked COUNTRIBUTING.md and my code follows its guidelines.

[codecov-commenter]

Codecov Report

✅ All modified and coverable lines are covered by tests.
✅ Project coverage is 96.06%. Comparing base (aa24550) to head (6f3a065).

Additional details and impacted files

@@            Coverage Diff             @@
##           master    #1000      +/-   ##
==========================================
+ Coverage   96.03%   96.06%   +0.02%     
==========================================
  Files         370      371       +1     
  Lines       25787    25943     +156     
==========================================
+ Hits        24764    24921     +157     
+ Misses       1023     1022       -1     

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[Dcyaprogrammer]

Hi @siriak, would you please take a look to your convenience. I believe this is ready to be merged. Thank you!

[siriak]

Looks good, thanks!