Deer Aging

Deer Aging

Introduction Hunters and conservationists alike delight in understanding the health and wellness of the wildlife around them. Since capturing animals in the wild can prove difficult, tracking wellness of species and individuals is typically performed by photographing...
Supervised ML: Fog prediction

Supervised ML: Fog prediction

Introduction In our tutorial on flight delay analysis, we scraped data from Kaggle. By ingesting a number of different data sources, we were able to piece together a large coherent dataset containing ~1.3M flights. Each flight in the dataset was further characterized...
Supervised ML: Flight delays

Supervised ML: Flight delays

Introduction Artificial Intelligence (AI) and Machine Learning (ML) have become a staple in today’s data analytics. Whether your problem lies in healthcare, fintech (finance technology), or transportation, ML provides a novel way to make predictions from large...
Signal processing: Flight delays

Signal processing: Flight delays

Introduction This article is an aside from a previous article on machine learning. The dataframe used in this tutorial (flown_noNA) is derived in the previous article after ingesting multiple CSV files, combining data, and removing redundancies within the resulting...
Multi-platform data collection

Multi-platform data collection

Introduction In the aerospace industry, there are two types of data: (1) synthetic data (e.g., models and simulations) or (2) experiments. Each has their own associated costs; while modeling and simulation require high-performance computers, graphical processing units...