My dataset is a combination of time series and non-time series data. what model can I use to train my machine using both types of data?
@Md_Samiul_Basir, Model selection is purely based business problem. Is is possible to share sample data to understand more?
@chunduriv Thanks for responding. Unfortunately, I don’t have the dataset yet. It’s about an agricultural problem. I have some growth and weather data depending on time, but some soil data is not related to time. both the types are important equally. I knew that LSTM works for multivariate time series forecusting. but what to do with the non-time series data?