KaggleX Final Project Presentation with Isabela Yepes | Kaggle

About the project: Regression and classifier machine learning models are used to predict the next day’s rainfall. Neural network regression, random forest, and XGBoost classifiers are trained on South Florida 2015 data with 44 features including the current day’s total rainfall, temperature, wind, surface pressure, wind, vegetation levels, and more. Then models are tested on NYC and South Florida 2022 December data. Temperature, the current day’s rainfall, and surface pressure were the top three predictive features. XGBoost was the best …

classifier classifiers current data features florida kaggle machine machine learning machine learning models network neural network next presentation project rainfall random regression south florida surface total wind xgboost