A Project to leverage machine learning algorithms to predict the potential donors based on a number of features.
-
Updated
May 22, 2020 - HTML
A Project to leverage machine learning algorithms to predict the potential donors based on a number of features.
This project explores the working of various Boosting algorithms and analyzes the results across different algorithms. Algorithms Used are: Random Forest, Ada Boost, Gradient Boost and XG Boost
Machine Learning Model helps to gain an understanding of how to optimize a number of models using grid searching
Add a description, image, and links to the adaboost-algorithm topic page so that developers can more easily learn about it.
To associate your repository with the adaboost-algorithm topic, visit your repo's landing page and select "manage topics."