Rainfall Prediction Project

Project Overview

This project involves applying different classification algorithms to predict whether there will be rain the following day using the Australian Bureau of Meteorology's rainfall dataset.

Algorithms Used

• Linear Regression
• K-Nearest Neighbors (KNN)
• Decision Trees
• Logistic Regression
• Support Vector Machine (SVM)

Evaluation Metrics

• Accuracy Score
• Jaccard Index
• F1-Score
• LogLoss
• Mean Absolute Error (MAE)
• Mean Squared Error (MSE)
• R2-Score

Contributing

If you would like to contribute to this project, please open an issue or submit a pull request with your suggestions or improvements.

Acknowledgments

• The dataset is provided by the Australian Government's Bureau of Meteorology.
• This project was developed as part of a data science learning initiative.

Contact

For any questions or feedback, feel free to contact me at om.college.id@gmail.com