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UGA Data Science Competition

EDA & Preprocessing

There are missing values in the dataset. We have to analyze if state makes a difference. Dummy variables. Variable Selection is a must.

Imputation.

Logistic Regression

Variable Selection during logistic regression. Implementing an income cap.

Decision Rule - using entropy on the validation dataset.

Feed Forward Neural Network

We will be using Tensorflow and Keras to build our nueral networks.

  • Learning Rate

  • Model Width

  • Model Depth

  • Batch Size

  • Google Model Search

  • AutoML

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Data Science Competition hosted by the UGA Department of Statistics & Wells Fargo. The competition involves developing a model that can potentially be used by a financial institution to approve credit-card applications

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