How do I use LSTM Networks for time-series classification problems? I have 2 binary outputs (1 and 0) with time series data. The dataset order is shown in the image..Can anyone suggest me how to handle this problem with LSTM? Particularly in MATLAB or Python. Thanks in advance.
This can be done with RNN/LSTM/GRU (type of Neural Networks that are well-suited for time-series).

For example : https://machinelearningmastery.com/multivariate-time-series-forecasting-lstms-keras/

This example is quite similar to the problem mentioned in question (predict air quality based on ~10 parameters. Parameters are available as a time-series).