Kaggle
Free Online Course
English
Certificate Available
5 hours worth of material
selfpaced
Overview
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.
Syllabus
- Linear Regression With Time Series
- Trend
- Seasonality
- Time Series as Features
- Hybrid Models
- Forecasting With Machine Learning
Taught by
Ryan Holbrook
