Tasks to be Done:

Using airline$-$passenger Dataset 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

$=100$

d$.$ Build another model where optimizer $=$sgd$$ and epoch $=50$