Data Science, Timeseries, Time Series Analysis, Arima Model, Forecasting.
fluctuations and long-term trends. Localization: Wavelets are localized in both time and frequency domains, making them suitable for analyzing non-stationary signals with varying characteristics. Feature Extraction: Wavelet coefficients can serve as informative features for forecasting models,