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Timeseries Engineering

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Foundations
  • Stationarity
  • Autocorrelation (ACF/PACF)
  • Decomposition
  • Differencing
  • Resampling & Frequency
Classical Models
  • AR Models
  • MA Models
  • ARIMA
  • SARIMA
  • Exponential Smoothing
Advanced Models
  • Prophet
  • State-Space Models
  • GARCH
  • VAR Models
  • Changepoint Detection
Deep Learning
  • RNNs for Time Series
  • LSTM & GRU
  • Temporal CNN (TCN)
  • Transformers for Time Series
  • N-BEATS & N-HiTS
Practice & Tooling
  • Feature Engineering
  • Cross-Validation for TS
  • Backtesting Forecasts
  • Anomaly Detection
  • Forecast Ensembles