/Finding-Donors-Using-ML

Predicting potential donors using various machine learning models, tuning and ensembling.

Primary LanguageJupyter Notebook

Finding-Donors-Using-ML

This project I worked on during my Machine Learning Cross-Skilling NANODEGREE Program. The aim of this project is to build a model that predicts the potential charity donors based on predicting how much they are making money a year. Based on the previously mentioned predicted feature we label them as potential chairty donors or not.

Algorithms used:

  • Support Vector Machine
  • Decision Tree
  • SDG Classifier
  • Random Forest Classifier

Model Evalution Metrics Used:

  • Accuracy
  • Beta F-Score

Model Tunning Technique Used:

  • Grid Search

Installs:

pip install sklearn==1.0.2

pip install numpy==1.22.2

pip install pandas==1.4.0

pip install matplotlib==3.5.1

Author:

Kareem Elozeiri