This project utilizes machine learning to predict extreme weather events and analyze traffic congestion in Southeast Asia. The repository includes data analysis, model training, and visualization scripts to forecast weather conditions for the next 30 days and enhance transportation efficiency.
The idea is to transform the data into something easier to work with. Right now, files have information specific to a single "point" on the globe.
We could convert the current format to a new one that indicates where each record comes from by adding attributes like "country", "latitude" and "longitude".
The idea is to transform the data into something easier to work with. Right now, files have information specific to a single "point" on the globe.
We could convert the current format to a new one that indicates where each record comes from by adding attributes like "country", "latitude" and "longitude".