Time Series & Forecasting
Forecast temporal data with statistical and deep learning methods. Master time series analysis and forecasting.
Level: Intermediate · Category: Machine Learning · Estimated time: 6 hours
Prerequisites
- Machine Learning Basics
- Data Science Fundamentals
Lessons
- Time Series Basics — Components, stationarity, and autocorrelation.
- ARIMA & SARIMA — Autoregressive, moving average, and seasonal models.
- Prophet for Forecasting — Additive model, holidays, and regressors.
- LSTM for Time Series — Recurrent networks, sequence modeling, and multi-step forecast.
- Transformers for Time Series — Temporal Fusion Transformer and attention for sequences.
- Evaluation & Production — Metrics, backtesting, and deployment.
Topics covered
time-series, forecasting, arima, prophet, lstm