You can view the project pdf HERE
This is the project about Census Income Classification with Machine Leanrning and Cloud Computing
- Benchmarked logistic regression, random forest, neural network and ensemble model in classifying range of income based on the sample’s job sector, title, age, marital status, and investment portfolio.
- Utilized H2O AI Framework in R for efficient training, cross-validation, and model selection.
- Amazon AWS EC2 instance was deployed for better machine and data management.