Tasks to be Done: Using airline$-$passenger Dataset $($air$\_$d$.$csv$)$

try to predict the number of passengers for next month given the number of passengers $($in units of

thousands$)$ for this month A$.$ You can write a simple function to convert our single column of data

into a two$-$column dataset: $a.$ The first column containing this month's $(t)$ passenger count and the

second column containing next month's $(t+1)$ passenger count, to be predicted. b$.$ Divide the data

into train and test set c$.$ Fit an LSTM model on top of the data where the optimizer $=$ 'adam' and

epoch $=\text{'}100\text{'}$ d$.$ Build another model where optimizer $=\text{'}$sgd$\text{'}$ and epoch $=\text{'}50\text{'}$