Data preparation is a critical prerequisite to any downstream analysis, especially within the context of machine learning appliactions. The purpose of the following workshop is to familiarize stude…

McMedHacks 2022 Prep Week 3 introduces participants to scientific programming with Python through a workshop prepared by Saman Rahbar and an assignment prepared by Nadia Blostein and Cesare Spinoso.

Open access data from the Human Connectome Project (HCP) that will be used for various tutorials on data preprocessing and analysis.

My contributions to the Computational Brain Anatomy Lab's documentation page (https://github.com/CobraLab/documentation/wiki)

Tutorial I gave my laboratory on virtual environments and conda.

In this project, we compared the performance of a multilayer perceptron (MLP) and convolutional neural network (CNN) in an image classification task.

In the following project, we examined the effects of hyperparameter tuning on six different classification models: logistic regression, decision tree, support vector machine (SVM), AdaBoost, random…

In this project, we implement and compare two classifiers: a logistic regression model and a Naive Bayes model.