Lstm To Forecast Numerical Data By Having Categorical Data As Input

I have a similar DataFrame: df = pd.DataFrame([ {'date':'2021-01-15', 'value':145, 'label':'negative'}, {'date':'2021-01-16', 'value':144, 'label':'positive'}, {'date':'2021-01-17'

Solution 1:

First of all, you have to transform the dataset into a time-series form that supported by LSTM. build a model to predict the next day only and roll the testing process as the number of predictions you want from a single prediction.
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