I have a dataset as .csv like
Date Value
8/10/2019 11:50 1642
8/10/2019 11:55 1621
I want to use the https://au.mathworks.com/help/deeplearning/examples/time-series-forecasting-using-deep-learning.html Time Series Forecasting Using Deep Learning (LSTM) with my data set. I tried to read the table first then convert the table to cell C = table2cell(T) to match the example
data = chickenpox_dataset;data = [data{:}];
but it didn't match. As you can see, my dataset contains time series, with time steps corresponding to Date (and time) and values corresponding to some number. How to conver this table of 2 X 100 (0r more) as a cell array, where each element is a single time step and Reshape the data to be a row vector to match the exaple? Like row 1 contains the Date and time and row 2 contains value of each date and time, so that i can experiemnt the example?
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