Time Series

Apply machine learning to real-world forecasting tasks.

• Use two features unique to time series: lags and time steps.
• Model long-term changes with moving averages and the time dummy.
• Create indicators and Fourier features to capture periodic change.
• Predict the future from the past with a lag embedding.
• Combine the strengths of two forecasters with this powerful technique.
• Apply ML to any forecasting task with these four strategies.

• Linear Regression With Time Series
• Trend
• Seasonality
• Time Series as Features
• Hybrid Models
• Forecasting With Machine Learning