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I have a history of a process represented as a string. Each symbol in a string represents a distinct state of a process in a given month. I have hundreds of thousands of these. Below are 2 examples: I'm looking to use a machine learning algorithm that could learn form the data, recognize patterns, and would be able to predict probabilities of future status of a process based on its past performance. Is it possible? What kind of methods should I look into? |
