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Time series analysis is critical for finance, operations, healthcare, and IoT. This course covers classical methods through modern deep learning approaches and LLM-based forecasting.

✅ What’s Inside:

  1. Time Series Fundamentals
  2. Stationarity and Decomposition
  3. ARIMA Family Models
  4. Feature Engineering for Time Series
  5. LSTM for Sequences
  6. Temporal Fusion Transformers
  7. N-BEATS Architecture
  8. LLM-Based Forecasting
  9. Anomaly Detection Methods
  10. Multi-Variate Forecasting
  11. Model Evaluation for Time Series
  12. Project: Stock Trend Predictor