Official PyTorch Implementation for the "Learning on Model Weights using Tree Experts" paper (CVPR 2025).

This project evaluates and compares the accuracy of three classification models for a rating classifier on a hotel website in spanish.

Alzheimer's Disease (AD) prediction using the OASIS-2 dataset

Random Forest is a powerful tool in healthcare, helping predict heart attack fatalities. It analyzes diverse patient data, creating an ensemble of decision trees, each with unique insights. By combining these trees, it offers a more accurate risk assessment for heart attack death, potentially saving lives.

Skripsi Analisis Sentimen dengan topik ChatGPT menggunakan metode Deep Learning Framework Tensorflow

This application allow to the user to monitor his mental workload using a eeg sensor on his head. The eeg use the theta and alpha band to minitor that mental fatigue and notify the user when is the time for rested.