Multiplicative Decomposition
Machine Learning · Further Education · Time Series Analysis
Multiplicative Decomposition is a method for breaking down a time series into its components: trend, seasonality, and residuals. This unit will teach you how to use this technique to analyze time series data and make predictions.
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Das gehört dazu
- Introduction to time series analysis
- Components of a time series
- Multiplicative decomposition
- Interpreting the results of multiplicative decomposition
- Advantages and disadvantages of multiplicative decomposition
- Applications of multiplicative decomposition
Stichworte
- Trend
- Seasonality
- Residuals
- Time Series Decomposition
- Multiplicative Decomposition
- Time Series Analysis
- Machine Learning