Added by Selcuk Disci on October 24, 2020 at 11:00pm — No Comments
It is always hard to find a proper model to forecast time series data. One of the reasons is that models that use time-series data often expose to serial correlation. In this article, we will compare k nearest neighbor (KNN) regression which is a supervised machine learning method, with a more classical and stochastic process, autoregressive integrated moving average (ARIMA).
We will use the monthly prices of refined gold futures(XAUTRY) for one gram…Continue
Added by Selcuk Disci on September 30, 2020 at 10:00am — No Comments
Summary: If you’re looking for a high growth, high demand area in data science where there is very high value and not many expert practitioners, look at time series forecasting, especially as it applies to Supply Chain Management demand forecasting.