ATPA — Advanced Topics in Predictive Analytics
SOA
Silhouette ; ARIMA: .
Traps to remember
Using k-means on unscaled features.
Fitting ARIMA to non-stationary series without differencing.
Every formula on the syllabus, rendered natively, with the traps examiners set for each. Print one per exam and keep it by your desk.
Silhouette ; ARIMA: .
Using k-means on unscaled features.
Fitting ARIMA to non-stationary series without differencing.