https://github.com/armandfs/ensemble_learning_project
This repository is one of my assignment in my Data Science Programme. It is a combination of implementing ensemble learning machine learning algorithms, such as decision trees, bagging, random forests, and majority voting.
https://github.com/armandfs/ensemble_learning_project
Last synced: 12 months ago
JSON representation
This repository is one of my assignment in my Data Science Programme. It is a combination of implementing ensemble learning machine learning algorithms, such as decision trees, bagging, random forests, and majority voting.
- Host: GitHub
- URL: https://github.com/armandfs/ensemble_learning_project
- Owner: ArmandFS
- License: mit
- Created: 2025-03-17T23:22:08.000Z (about 1 year ago)
- Default Branch: main
- Last Pushed: 2025-04-02T11:49:23.000Z (about 1 year ago)
- Last Synced: 2025-05-23T15:34:03.372Z (about 1 year ago)
- Language: Jupyter Notebook
- Size: 155 KB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
Awesome Lists containing this project
README
# ensemble_learning_project
This repository is one of my assignment in my Data Science Programme. It is a combination of implementing ensemble learning machine learning algorithms, such as decision trees, bagging, random forests, and majority voting. I'll be utilizing pure python libraries with a few classifiers from Sci-kit learn's machine learning library. For the dataset, we used a custom Breast Cancer dataset from the UCI Machine Learning Repository.