Explain Neural Networks using Layer-Wise Relevance Propagation and evaluate the explanations using Pixel-Flipping and Area Under the Curve.

ArDoCo: Metrics for Classification & Ranking Tasks

Program evaluate and test some algorithms and find the best evaluation measure for it with different photos.

Companies face the problem that their human resources on whom the company have invested time and money to train them, leave the company voluntarily. It is important for the management to know the variables responsible for employees quitting jobs and also have a prediction that which employees will be quitting their jobs in future. The goal of th…

A multi-class approach to the AUC based on Hand and Till's 2001 paper.

R code for manuscript: Hughes JH, Upton RN, Reuter SE, Phelps MA, Foster DJR. Optimising time samples for determining AUC of pharmacokinetic data using non-compartmental analysis. - Web App can be found at:

AUCC (Python Implementation)

This project aims to predict the occurrence of diabetes using machine learning techniques. The dataset used for this analysis is the "diabetes_prediction_dataset.csv" file, which contains various features related to an individual's health condition.

This project aims to predict breast cancer using machine learning and deep learning techniques.

How to cite: Van De Vyver, A.J., Eigenmann, M.J., Ovacik, M., Pöhl, C., Herter, S., Weinzierl, T., Fauti, T., Klein, C., Lehr, T., Bacac, M., Walz, A.-C. (2021). A novel approach for quantifying the pharmacological activity of T cell engagers utilizing in vitro time course experiments and streamlined data analysis. AAPS

Python code to obtain metrics like receiver operating characteristics (ROC) curve and area under the curve (AUC) from scratch without using in-built functions.

Predicting And analyzing credit card fraudulent detection

This repository basically contains all the projects that I have carried out while learning Machine Learning on DataCamp.

Raw R code for manuscript: Hughes JH, Upton RN, Reuter SE, Phelps MA, Foster DJR. Optimising time samples for determining AUC of pharmacokinetic data using non-compartmental analysis.

Learning Machine Learning Through Data

An innovative solution for finding the area under the curve for hand-drawn graphs

Includes all of my Jupyter Notebook assignments from MIT's Break Through AI/ML Machine Learning Foundations Program.