Detection of anomalous values in a time series of the LULU stock price on Nasdaq. I first fit a univariate multi-step LSTM model to predict prices for the next 30 days, and then, based on the 3-day moving average error, detect threshold-based anomaly points.
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Ignacio-Ibarra/Anomaly-Detection-with-LSTM
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