This project focuses on predicting whether a Donor's Choose project is "exciting" which is the likelihood that it will get funded. It is part of a Kaggle Competition to help teachers get funding for their school projects.
Process:
- Data: Project data provided by Kaggle
- Exploration: Visualizations of projects overtime and location
- Modeling: Random Forrest, Logictic Regression
- Optimization: GridsearchCV
- Submission
The best model was Logistic Regression with an AUC score of .68