What are some effective encoding techniques for time series data?

What are some effective encoding techniques for time series data?

Some effective encoding techniques include one-hot encoding, label encoding, and using time-based features like day of the week.

Can you explain how one-hot encoding works for time series?

One-hot encoding transforms categorical variables into a binary matrix, where each category is represented by a unique binary vector.

Are there any specific techniques for handling seasonal data?

Yes, techniques like seasonal decomposition and Fourier transforms can help capture seasonal patterns in time series data.

What about using lag features?

Lag features involve using previous time steps as input variables, which can help the model learn temporal dependencies.