Background: Wildfires have caused a lot of structural damage to various buildings, which is often costly to repair and can result in further injuries. Is it possible to use data on the structural damage done by wildfires to these buildings, along with features of the buildings themselves, to determine which buildings are most susceptible to wildfire damage?

Goal: Build a model that can predict the level of structural damage a building will receive from wildfires that impact it based on location, building material, age, and other factors.

Data: The California Department of Forestry and Fire Protection has a CAL FIRE Damage Inspection (DINS) dataset on structures impacted by wildfires in California at https://data.ca.gov/dataset/cal-fire-damage-inspection-dins-data.

Method: Perform EDA to determine correlation between building features and level of structural damage from wildfires, then build a classification model to capture this relationship (logistic regression, KNN, etc.).