added overview of files

README.md

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 # DALI 2024S Dev Challenge Deployment
 ### Machine Learning Track
 
-Deployment of profit prediction models for the 2024S DALI Dev Challenge.  I deployed the best performing Logistic Regression, SVM, and XGBoost models I generated.
+Deployment of profit prediction models for the 2024S DALI Dev Challenge.  I deployed the best performing Logistic Regression, SVM, and XGBoost models I generated.  I also generate shapley values for each entry the user inputs to offer greater interpretability to model predictions.
+
+## Files:
+- app.py: App file.  A copy of the interface I defined in the profit prediction notebook
+- Log_Reg.pkl: Serialized copy of the best-performing logistic regression model
+- SVM.pkl: Serialized copy of the best-performing SVM model
+- XGB.model: Serialized copy of the best-performing XGB model
+- Superstore.csv: Dev challenge dataset (needed to generate Shapley values)