Back to search
Top Contributors
4
commits
A California house price prediction system using Random Forest regression with scikit-learn pipelines for preprocessing, featuring model comparison (Linear Regression, Decision Tree, Random Forest), stratified sampling, and automated training/inference workflows.
Stars
2
Forks
0
Watchers
2
Open Issues
0
Overall repository health assessment
No package.json found
This might not be a Node.js project
4
commits