In this project I used past three years data of climate having key attributes like rainfall, wind speed, direction, temperature etc and predict calamity on the basis of these key attributes for next year three years using logestic regression technique and also perform descriptive data analysis.
- Install miniconda
- conda create -n climate_risk python=3.6
- conda activate climate_risk
- conda install -c conda-forge fbprophet -y
- conda install jupyter
- pip install sklearn
- pip install imblearn
- pip install xgboost