Random Forest Regressor Algorithm.#13

[ayushi424]

Random Forest Regressor Algorithm #13

Adding practical implementation of Random Forest Regressor algorithm using a project as laptop price prediction as per the project structure mentioned.

• [x] DevIncept Participant
• [ ] Contributor

Closes: #13

Describe the changes you've made

• Added Random Forest Regressor folder in Algorithms folder of Machine Learning folder which contains-:
  1. README.md file with proper documentation and
  2. random_forest_regressor.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)
• [x] 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:

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

[prathimacode-hub]

Hey, Kindly fill the form with your PR link. You have 2 PR's merged in this project. Your responses hasn't turned up yet. Form is available in slack project channel. @ayushi424

[ayushi424]

Hey, Kindly fill the form with your PR link. You have 2 PR's merged in this project. Your responses hasn't turned up yet. Form is available in slack project channel. @ayushi424

Yes, filled the updated form for both the PR's.