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Reads texts and creates a model that can be used to output texts statistically similar.

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  • Utilized Python to develop a program that builds a statistical model of information linked to a given URL and output to a file or pickle a stream of data similar to the original but randomly generated

  • Programmed a Markov Chain with a graph containing nodes as states, edges as tokens, and scratches for each edge based on frequency in the given data

  • Implemented different sophistication levels of output by windowing the data by different sizes

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Reads texts and creates a model that can be used to output texts statistically similar.

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