Repository figure: Shaidozzaman Araf · Repository image · Resized and converted to WebP.
Created by ADHAYAN cofounder Shaidozzaman Araf.
Learning regression through shipping estimates
This project explores shipping-cost prediction using Random Forest regression. The command-line interface collects package dimensions, weight, travel distance and shipping speed, with volumetric and chargeable weight calculations.
The repository contains a dataset-generation notebook, a prediction-testing notebook, example data, a saved model and a predicted-versus-actual plot. It is an educational ML example, rather than a carrier’s live pricing service.
Contributors
- Shaidozzaman Araf
Resources & links