Technologies: Python, Models: Stepwise Regression, Logistic Regression
- Examined the various datasets given to tackle the problem of economic mobility in charlotte focusing on providing a model to create affordable housing prices.
- Performed data preprocessing on two selected datasets, identified significant attributes using correlation analysis.
- Created two models with stepwise regression and logistic regression to predict the factors affecting the housing prices and suggested measures to make them affordable based on the analysis performed.