12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all

Companion webpage to the book "Mathematics For Machine Learning"

Learn ML engineering for free in 4 months!

python partial dependence plot toolbox

Machine Learning University: Decision Trees and Ensemble Methods

Crash course to master gradient-based machine learning. Also secretly a JAX course in disguise!

Toolbox for normative modelling and spatial inference of neuroimaging data. https://pcntoolkit.readthedocs.io/en/latest/

The purpose of this paper is to detect Alzheimer’s Disease using Deep Learning and Machine Learning algorithms on the early basis which is being further optimized using CSA(Crow Search Algorithm). …

Data science Python notebooks—a collection of Jupyter notebooks on machine learning, deep learning, statistical inference, data analysis and visualization.

A collection of companion Jupyter notebooks for Ensemble Methods for Machine Learning (Manning, 2023)

ADHD subtypes classification project with 3 different datatypes

Classification of Alzheimer disease using different machine learning models.

pyebm - A toolbox for Event Based Models

Normative modelling using deep autoencoders: a multi-cohort study on mild cognitive impairment and Alzheimer’s disease

Website

Clustering and Image Processing using Fuzzy Logic

A Classification method is proposed to automatically discriminate between patients with Alzheimer's disease (AD) or mild cognitive impairment (MCI) and elderly controls (CN) based on T1-weighted MR…

This repository is the author implementation of the paper "Biomarker Identification by Reversing the Learning Mechanism of Autoencoder and Recursive Feature Elimination"

Public repo for 2020 GIS Snapshot publication on mapping prescription opioids to inform pharmacy harm reduction efforts

Dasha Akimova's Fall 2019 Insight project on predicting and understanding opioid overdose-related deaths in MA, a consultation project with Biobot Analytics

Matt McElroy's Fall 2019 Insight Fellows consulting project

Parkinson’s disease is classically defined as a movement disorder, patients may often experience some cognitive decline ranging from mild impairment to dementia. The severity of one’s cognitive imp…

This script uses deep learning model to extract features from unstructured data and combines with structured features and then applies ensemble models for conditional hierarchical classification.

Ph.D. Thesis Research. Sequence analysis of HIV-1 Tat and machine learning classification of neurocognitive impairment. Subset of the analyses included, pending publication.

Detection of cognitive impairment in Depression using Deep Learning

Insight project on predicting and understanding opioid overdose-related deaths in MA, a consultation project with Biobot Analytics

A machine learning model developed with support vector machine algorithm trained with neuropsychological data for screening cognitive impairment subjects MCI and dementia from normal subjects.