Time Series Fundamentals

Define time series data and identify its key characteristics (trend, seasonality, cyclicity, noise).

Visualize time series data to identify patterns, anomalies, and other features.

Decompose a time series into trend, seasonal, and residual components.

Explain the concept of stationarity and test for it using statistical tests (e.g., ADF test).

Split time series data into training, validation, and test sets respecting temporal order.