This machine learning project aims to predict whether it will rain on a given day using the weather dataset from the kaggle package, which contains daily weather observations from various weather stations across Australia. The dataset includes information such as temperature, humidity, rainfall, and wind speed, among others. The project will involve exploratory data analysis, data preprocessing, model training and evaluation, and hyperparameter tuning to select the best performing model. The final result will be a machine learning model that can accurately predict whether it will rain on a given day based on the weather observations.
- Tanmay Vivek Kshirsagar
- Sudhanshu Deshpande
- Shreyas Sunku Padmanabha
The "WeatherAUS" dataset is obtained from Kaggle. The dataset contains 145460 rows and 23 columns, and is available at the following link: https://www.kaggle.com/jsphyg/weather-dataset-rattle-package