Data Science, Artificial Intelligence, Forecasting, Open Data, Finance.
in Deep Learning). It also accepts historical N/A values as input, which occur frequently when forecasting new products. Traditional forecasting approaches often simply do not work at all with only a few historical data points. Tree-based models are interpretable for non-experts after some training