Best ML model for time series prediction?

LSTM and GRU networks are still very effective for many time series prediction tasks.

Feature engineering is crucial - domain knowledge often beats fancy algorithms.

For time series, I've had great success with Temporal Fusion Transformers. They handle multiple time series really well.

Don't overlook traditional methods like ARIMA or Prophet for simpler cases. Sometimes they outperform complex models.