Time Series Feature Engineering in Apache Spark for Python with Scala

Feature engineering is pivotal in harnessing data's potential, especially in time series data, essential for insightful analysis and enhanced model performance.

Time series feature engineering is distinct due to temporal dependencies, requiring specialized preprocessing and extraction methods.

Read at Medium