Split data into training and validation sets

Hello I am trying to split this data into a 70% and 30% partition with 70% stored for training and 30% for validation for training a neural network. Any help would be greatly appreciated.

data =readtable('EURUSD=X.csv');
%training = first 70% of data
%testing =  last 30% of data

Answer 1

[the cyclist]

There are several ways to do this. (I'm curious if you even tried to google this, because there are many answers online.)

Here is one way. There are perhaps more elegant ways, if you have the Statistics and Machine Learning Toolbox. (For example, you could use the cvpartition function.)

numberObservations = height(data);

randomizedIndices = randperm(numberObservations);

numberTraining = floor(0.7*numberObservations);

dataTraining = data(randomizedIndices(1:numberTraining),:);
dataTest     = data(randomizedIndices(numberTraining+1:end),:);