Dear KNIME Community,
I am currently analyzing the use of a neural network (MLP) for sales forecasting of industrial goods. Since there is a strong correlation of these industrial goods with commodity prices (e.g. copper, oil, gold, etc.), I want to choose a regression approach for predicting future sales, not a timeseries approach.
I have just discovered KNIME and I am wondering if this software could be used for my project.
Since I am a complete beginner with this platform…Do you have any recommendations on which example workflows or tutorials I should focus in the first step?
You support is highly appreciated!