Logistic Regression #114

[ayushi424]

Logistic Regression #114

Adding practical implementation of Logistic Regression Algorithm using a project as Water Portability Classification as per the project structure mentioned.

• DevIncept Participant
• Contributor

Closes: #114

Describe the changes you've made

• Added Logistic Regression folder in Algorithms folder of Machine Learning folder which contains-:

1. README.md file with proper documentation and
2. logistic_regression.ipynb file with practical implementation.
3. Images folder with all code images.

Type of change

What sort of change have you made:

• Bug fix (non-breaking change which fixes an issue)
• New feature (non-breaking change which adds functionality)
• Code style update (formatting, local variables)
• Breaking change (fix or feature that would cause existing functionality to not work as expected)
• This change requires a documentation update

How Has This Been Tested?

Performance done by accuracy check and error check.

Checklist:

• My code follows the guidelines of this project.
• I have performed a self-review of my own code.
• I have commented my code, particularly whereever it was hard to understand.
• I have made corresponding changes to the documentation.
• My changes generate no new warnings.
• I have added test cases that prove my fix is effective or that my feature works.

[prathimacode-hub]

Picture perfect. PR is approved. Great job. 👏🤩@ayushi424