Use Deep Learning model to diagnose 14 pathologies on Chest X-Ray and use GradCAM Model Interpretation Method
Deep Neural network using CNN pre-trained model to visually diagnose between 3 types of skin lesions
Evaluation of supervised predictions for two-class and multi-class classifiers
Toolkit for Doing Research with ECMAScript-based Statistics (DRESS Kit)
Machine-learning models to predict whether customers respond to a marketing campaign
Survival modelling using Cox proportional hazard regression model
The classification goal is to predict whether the client will subscribe (1/0) to a term deposit (variable y).
pyWitness performs data analyses and model fitting of recognition memory data, specifically eyewitness identification data.
A Data Science Portfolio for potentially interested employers and recruiters.
[Master Thesis 2017] Scripts for calculating metrics to assess performance of a drug design software.
Resample precision-recall curves correctly!
Visualization of whole genome differential gene expression analyses
This project contains codes and paperwork based on the course CSI5155 at University of Ottawa (delivered by Professor Dr. Herna Viktor).
Two-Dimensional Data Whitening and Receiver Operational Characteristic Determination
These codes are written as a part of ECE219 Large Scale Data Mining course at UCLA.
Python code to obtain metrics like receiver operating characteristics (ROC) curve and area under the curve (AUC) from scratch without using in-built functions.
Assessment of radiological abnormalities and prediction of lung function with AI-determined lung opacity
Leveraging and comparing various ML techniques to forecast credit card defaults [Imbalanced data]
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