Skip to content
#

gini-impurity

Here are 15 public repositories matching this topic...

Prediction of delivery times for DoorDash deliveries. Performed feature engineering (creation, encoding), feature selection using (multi)collinearity analysis, Gini importance and PCA. Applied 6 ML models to perform regression analysis on delivery time prediction.

  • Updated Jul 18, 2023
  • Jupyter Notebook

Improve this page

Add a description, image, and links to the gini-impurity topic page so that developers can more easily learn about it.

Curate this topic

Add this topic to your repo

To associate your repository with the gini-impurity topic, visit your repo's landing page and select "manage topics."

Learn more