Ideas for model to predict wind speed in a local kitesurfing spot
Predicting weather is very complex, so it's unlikely you'll improve upon any predictions from services like WindFinder.
I would first try to prove that predictions from a service like WindFinder are inaccurate, i.e. collect historical predictions and compare it your recordings of sensor data at your local position.
After this, encode your heuristic model which allows you to predict the &quot;good wind&quot; based on other sources into code, but with current information I'm not sure where the ML fits in, rather it seems to just be aggregating sensor &amp; weather site information into a single metric.