Built logistic regression and decision tree models to predict earthquake damage to buildings, extracted data from a #sqlite database, and revealed the biases in the data that can lead to discrimination.
• Built a Proof of Concept to predict Damage Grade of a building structure to find correlation between different factors contributing to structure deformity. • Clustered multiple demographics and socio-economic features in making Logical Regression model and Decision Tree Classifiers and visualized the KPIs on Plotly Dashboard
Link to data source: https://www.kaggle.com/datasets/arashnic/earthquake-magnitude-damage-and-impact
Data was converted from .csv to .db for project purposes and cleaned as per requirement.