LSTM model for bachelor thesis: IDENTIFICATION OF MACROECONOMIC INDICATORS IN FAST FOOD RESTAURANT DEMAND FORECASTING USING LONG SHORT TERM MEMORY FOR INVENTORY OPTIMIZATION
If data labelling for my own dataset counts, i have experience labelling sales data for my thesis' LSTM model. The data labelled are sales data which are used to better forecast customer demand based on a product's relative premium or cheap subtitute and macroeconomic conditions. Manual labelling method is chosen since the judgement to cheap and premium when comparing to street food alternatives can be subjective, hence manual labelling instead of automated machine learning