GitHub / ParthDS02 / Rain-Prediction-in-Australia-Implementing-and-Evaluating-Multiple-Classification-Models

This project focuses on predicting rainfall in Australia using various classification models. It involves exploring and preprocessing the dataset, training multiple machine learning models, and evaluating their performance. The goal is to identify the best model for accurate rain prediction.

JSON API: http://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/ParthDS02%2FRain-Prediction-in-Australia-Implementing-and-Evaluating-Multiple-Classification-Models
PURL: pkg:github/ParthDS02/Rain-Prediction-in-Australia-Implementing-and-Evaluating-Multiple-Classification-Models

Topics: classification-models, coursera, data-science, jupyter-notebook, machine-learning-algorithms, model-evaluation, python, rainfall-prediction

• Files
• Readme
• Dependencies