Standardize Continuous Data Shape for Neural Networks

Hello World,

So this is an interesting problem.  You are collecting data from somewhere and you want to feed it into a neural network for classification.  There is one main problem with this.  The shape of the data!  Neural networks and really just anything require specifically shaped data, you can’t just like give it something of ambiguous size.  There are tons of papers out there on dimensionality reduction, but nothing on dimensionality reduction to a specified size.  This article explains my approach.

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Time Series Discovery with Python

Hello World,

This article is loosely based on a time series challenge from customer data.  I have fabricated 3 data files such that they represent the same challenge and we will go through the process of discovering that data.  The primary challenge in this data set is that it is from a sleep study and the researchers left the date portion of the time stamp off.  What this means is that at midnight, the data plots at the beginning of the x-axis.  The second challenge is lining up data to see if there is anything interesting with the time.  So yes, you can simply plot using the index that python generates, however I’m also interested in the actual time itself as this is a study involving humans.

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