EARTHQUAKE DAMAGE IN NEPAL
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About this project
For each assessment, students must score 90%. Learners build logistic regression and decision tree models to predict earthquake damage to buildings. They extract data from a SQLite database, and reveal the biases in data that can lead to discrimination. -Queried an SQL database. -Performed a randomized train-test split. -How to build a logistic regression model for classification. -How to build a decision tree model for classification. -Explored ethical and sustainability considerations into model building.
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