Machine learning model to predict individuals' income using a classification algorithm. The model was trained on a dataset with categorical features, where each feature represented a binary decision (e.g., yes/no), making it similar to a decision tree.
Technology Stack Used in this Project
- Python
- Kaggle
- Jupyter Notebook
- Pandas
- Scikit-learn