📄 Overview: This project presents a robust and efficient approach for tree canopy detection using high-resolution hyperspectral imagery and a point-based XGBoost classification workflow implemented ...

The aim of the project is to build a model where the forecasted variable is the number of shipments in a given week. This repository contains code written in Python using Jupyter Notebooks, along with ...

In the world of machine learning (ML), there are a few very important processes which are critical to anyone in the ML space. The first is making sure the data used in machine learning is clean. This ...