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This group project employs an artificial neural network and logistic regression to predict COVID19 mortality rates in individuals from the CDC Surveillance dataset. It contains a report, presentation, and several notebooks that have various functions. The primary notebooks used were Clean, Describe, Logit, MLPClassifier, and Project which is a s…

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Grant Ferrell, Kshitij Saxena, Connor MacMillan, Nicholas Wawee

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For our project we first collected research from the CDC coronavirus case dataset for the US. We seperated the work into multiple notebooks. We created a report and presentation both of which are within this repo.

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This group project employs an artificial neural network and logistic regression to predict COVID19 mortality rates in individuals from the CDC Surveillance dataset. It contains a report, presentation, and several notebooks that have various functions. The primary notebooks used were Clean, Describe, Logit, MLPClassifier, and Project which is a s…

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