Class Central is learner-supported. When you buy through links on our site, we may earn an affiliate commission.


Time Series

via Kaggle


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

Taught by

Ryan Holbrook


Start your review of Time Series

Never Stop Learning.

Get personalized course recommendations, track subjects and courses with reminders, and more.