GitHub repository: luis-valverde/Finding-Donors-for-CharityML
Primary language: HTML
Created: 2019-11-03T06:26:55Z
Description: The goal in this project was to build a model that accurately predicts whether an individual makes more than $50.000, to identify likely donors for a fictional non-profit organization. To accomplish this, I applied data preprocessing techniques such as normalization and one-hot encoding. Then, trained and tested several supervised machine learning models (Gradient Boosting, Random Forest) and picked the best model based on F-beta and training time metrics. Finally, I increased the performance of the chosen model using grid search (F-beta increased by 2.03%).