GitHub - tobibolu/Finding-Donors-for-CharityML

Briefly describe the project you worked on. What did you create, who did you create it for, and how did you approach this project?

Spearheaded the assessment and optimization of various supervised learning

algorithms, to determine the most effective model for identifying potential donors for CharityML. This thorough evaluation process involved careful analysis of algorithm performance metrics such as accuracy, precision, recall, and F1-score.

Implemented rigorous hyperparameter tuning and cross-validation techniques to fine-tune the selected algorithm. Leveraged grid search and randomized search to optimize hyperparameters, thereby enhancing the model's performance and generalizability.