Climate Change Machine Learning (ML) Analysis: Predictive modeling of global temperatures using Berkeley Earth data. Comprehensive EDA, multiple ML models, and hyperparameter tuning to analyze warming trends and build accurate temperature forecasts. 

This repository contains a flood vulnerability prediction model. To see the "Flood Vulnerability Level" (e.g., Highly Vulnerable, Moderately Vulnerable, Less Vulnerable) of any location based on its flood-related parameter (e.g., Rainfall, Elevation, Slope).

Please follow the steps below:

Step 1: Launch the Notebook on Binder

Click on the Binder badge to launch the notebook in an interactive environment: 

Step 2: Input Parameter's Value for Your Selected Location

Once the notebook opens, you will be prompted to enter criteria values such as Rainfall, Elevation, Slope.

Step 3: View the Prediction

Once you’ve entered all the required data, the notebook will display the flood vulnerability prediction based on your inputs.