This beginner-level project introduces you to the basics of analyzing brain data. Learn to work with EEG signals and extract meaningful patterns using Python and scientific computing tools. You’ll develop core skills in data preprocessing and analysis, perfect for those starting in cognitive data science.
A beginner to intermediate-level project designed to explore the relationship between cognitive signals and AI-driven insights. Using tools like nibabel, nilearn, you'll learn to manage and analyze fMRI data, revealing hidden trends in cognitive processes. Ideal for building a foundation in AI applications in neuroscience.
An intermediate-level project that delves into the analysis of complex brain activity data. You’ll gain hands-on experience with fMRI datasets, using Python and advanced machine learning libraries like Scikit-learn, PyTorch, and TensorFlow to map neural pathways. This project is perfect for learners who want to apply AI in neuroscience research.
In this advanced-level project, you’ll explore the cutting-edge of AI by analyzing behavioral patterns using cognitive data. Leveraging AI models and Python-based data analysis tools, you'll discover how machines interpret human behavior. This project requires prior experience with machine learning.