how can we feed both data time series and non time series data together in machine learning classification model
You need two backbones: for time series, use LSTM/GRU and for non-time series, use 1D CNN or Linear layers. Once you get the final embeddings from both of them, concatenate the embeddings and finally feed to the classification layer.