Natural Language Processing in Mental Health
A project in which I used natural language processing, specifically LSTMs, to identify mentally at-risk Twitter users who showed signs of depression or suicidality.
Gut Microbiota Autism Diagnostic with Random Forest & PCA
A project in which I classified autistic subjects using machine learning and gut microbiota data.
Making a Convolutional Neural Network
A project in which I programmed a convolutional neural network to classify objects in the CIFAR-10 dataset.
ADHD Diagnostic with Neural Network & Brain Data
A project in which I used independent component analysis, correlation analysis and a neural network to diagnose ADHD with functional connectome biomarker data I processed using Nilearn.
COVID-19, Mental Health & Technology
An article I wrote discussing the effects of COVID-19 on mental health and how technologies like artificial intelligence and virtual reality can fix this.
Non-Negative Matrix Factorization
An article I wrote about non-negative matrix factorization, and how it can extract parts-based features from immense amounts of data.
Random Forest Classification
An overview of the random forest classification algorithm and how I made one in SciKit using the wine dataset.
Machine Learning Overview
An article I wrote which serves as an overview of machine learning and how it is being used to build a better world.