Welcome 👋!, In this project, we will analyze and assess the damage caused by earthquakes in Kavrepalanchok, Nepal. Using data collected from Open Data Nepal, this project employs data analysis and visualization techniques to understand the patterns and impacts of earthquake damage to improve future disaster preparedness and response.

• Get data by querying a sqlite database 📊🔍

• build a logistic regression model for classification 🔨📈

• build a decision tree model for classification 🌳📈

• ethical considerations into our model building 🤝🧠

• SQL Query about buildings in district 3

  

• Sub data of buildings in district 3

  

• Distribution classes of severe damage column

  

• Relationship of footprint feature and severe damage

  

• Logistic Regression model with encoder for categorical features

  

• Training and Validation to retrieve the max depth of the regression model which is 10

  

• Decision Tree model based on the last max depth of the logisticregression model

  

• Decision-Tree model content

  

• Decision Tree plot

  

• Importance of features

  

• Click here to access to the Open Data Nepal
• Click here to access to the code source of my Project