Issue
I've found a tutorial in Kaggle web site that explains how to use RNN (Recurrent Neural Network) on the titanic data set in order to predict who survived.
my question is - how come RNN is suitable for this problem? I thought RNN is not suitable for problems with csv file as a data set.
link to the tutorial (you can find the csv files in there) - https://www.kaggle.com/lusob04/titanic-rnn
and here is a sample of the dataset -
and another question - do you think CNN or RL is better suited for this problem?
Solution
Just like you suspected, RNN is not suitable for this kind of problem.
The link you shared offer a way to use RNN to solve the problem but I think using RNN in this case is an over-kill and that other, more simple models might even get you better results.
Answered By - שגית מלכה
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