/rainfall-prediction-using-stack-ensembles

Using ensemble learning to predict rainfall in Vidarbha region of Maharashtra, India

Primary LanguageJupyter Notebook

Rainfall-Prediction-end-to-end-ML-project

The primary goal of the project is to forecast the anticipated volume of rainfall in the Vidarbha region or state with considerable lead time. Our approach involves predicting average rainfall based on historical data.

Tech Stack

  • IDE: Jupyter notebook, vscode

Research publications

Title: A Stacking Ensemble Learning Model for Rainfall Prediction based on Indian Climate
https://ieeexplore.ieee.org/document/10112077
INSPEC Accession Number: 23040242
DOI: 10.1109/ISCON57294.2023.10112077

CONCLUSION

XGBoost and Random Forest demonstrated superior performance when compared to alternative models. Nevertheless, if prioritizing speed is crucial, opting for Random Forest over XGBoost may be a more suitable choice.