This project explores various supervised learning algorithms and attempts to predict if a person's income is above $50,000. This information will help the charity correctly target the best people when seeking donations. This dataset comes from UCI Machine Learning Repository. A subset of the data has been used for this project and can be found in the census.csv file.
This project is using Python 2.7 and needs the following libraries:
- numpy
- pandas
- scikit-learn
- matplotlib
- jupyter notebook
These can be installed using pip or conda if using Anaconda.
The project is implemented in a Jupyter notebook and can be run using the following from a terminal:
jupyter notebook finding_donors.ipynb