GitHub / DavidCico / Self-implementation-of-a-random-forest-algorithm
A random forest algorithm is implemented in Python from scratch to perform a classification analysis.
JSON API: http://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/DavidCico%2FSelf-implementation-of-a-random-forest-algorithm
PURL: pkg:github/DavidCico/Self-implementation-of-a-random-forest-algorithm
Stars: 4
Forks: 2
Open issues: 0
License: None
Language: Python
Size: 94.7 KB
Dependencies parsed at: Pending
Created at: over 6 years ago
Updated at: over 2 years ago
Pushed at: over 6 years ago
Last synced at: over 2 years ago
Topics: algorithm, classification-task, classification-trees, jupyter-notebook, machine-learning, machine-learning-algorithms, python, python3, random-forest, scratch, scratch-implementation