Multiclass image classification using Convolutional Neural Network

The central point of ongoing research regarding the usefulness of the large-scale atmospheric variability in the Mediterranean for forecasting extreme precipitation in the domain.

Second homework for the Machine Learning course at La Sapienza University of Rome

🌟 Explore machine learning and parallel computing through hands-on projects on supercomputing and GPU architecture for real-world data analysis.

Machine Learning & Parallel Computing projects, including NVIDIA DGX A100 supercomputer analysis and an ML model for extreme weather classification (Decision Tree & Random Forest).

🌦️ A Flask-based ML web app for classifying weather types (Sunny, Rainy, Cloudy, Snowy) using multiple models. ⛅⚡❄️

In this project, we aim to classify different types of weather using several machine learning algorithms. The dataset consists of various weather features like temperature, humidity, wind speed, precipitation, and more, which are used to predict the weather type.

🌦️ A Flask-based ML web app for classifying weather types (Sunny, Rainy, Cloudy, Snowy) using multiple models. ⛅⚡❄️