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Hello Paul and Hello everyone
This is a rather kiddish attempt to start fitting differential equations to the Darwin Anomalies:
The ideas were unearthed during the earlier forecast algorithms which I posted here and the wavelet scalograms showing the 3 months period for Darwin Delta Anomalies.
The parameter for the differential equations are picked kinda arbitrarily to experiment. But later on there will be an algorithm that generates them. I wish to use Machine Learning algorithms to forecast them, then use them to solve differential equations, as opposed to Machine Learning algorithms forecast do the entire data. Needs much more thought and coding.