Developed an LSTM model in PyTorch to forecast monthly alcohol sales. Preprocessed time series data, trained the model to reduce prediction error, and assessed performance by comparing predicted vs. actual values. Visualized results using Matplotlib.
YashBoda/Alcohol-Sales-Prediction
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