Analyzing textual data from Google survey to drive insights through NLP and visualization
Compares survey data to run t-test, 1-, 2-way ANOVA, and more
Using mutual information to compare and plot the different registration types in neuroimaging data preprocessing steps
From setting up TensorFlow to creating vectors and cosine similarity
Continuation from Part 1, the script runs independent component analysis and automatic epoch rejection, and plots improved ERP
This script runs through sample experiment data from manually reading in raw file to preprocessing through applying filters, eye blink detection using peak finding techniques. Then we create epochs and plot evoked responses.