Learn how to build a comprehensive worldwide wildfire data collection and host it on Kaggle in this detailed tutorial. Explore techniques for harvesting data from NASA, creating datasets for specific countries like the USA, Canada, and Nepal, and visualizing wildfire data using tools such as mapboxgl, matplotlib, and Kepler.gl. Develop a Streamlit app to display wildfire information for any country or region by year. Gain insights into data collection, filtering, feature selection, and various visualization methods for geospatial data. The tutorial also covers pushing code to GitHub and hosting datasets on Kaggle, providing a complete workflow for building and sharing wildfire data projects.