Download
The Kaggle-EEG project is a machine learning solution developed for seizure prediction from EEG data, achieving 3rd place in the Kaggle/University of Melbourne Seizure Prediction competition. The repository processes EEG data to predict seizures by training machine learning models, specifically using SVM (Support Vector Machine) and RUS Boosted Tree ensemble models. The framework processes EEG data into features, trains models, and outputs predictions, handling temporal data to ensure accuracy.
Features
- Processes raw EEG data and extracts frequency and temporal domain features
Project Samples
Categories
Machine LearningFollow EEG Seizure Prediction
Other Useful Business Software
Train ML Models With SQL You Already Know
Build and deploy ML models using familiar SQL. Automate data prep with built-in Gemini. Query 1 TB and store 10 GB free monthly.
Rate This Project
Login To Rate This Project
User Reviews
Be the first to post a review of EEG Seizure Prediction!
