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azure

used Azure ML Studio Designer to build a classification model to predict the likelihood of a patient developing Chronic Heart Disease (CHD) in the coming ten years. Created model pipeline for data cleansing, feature analysis, model evaluation and REST Endpoint deployment, achieving accuracy of 84%.

correlation-one-clustering

creditriskmodeling

comprehensive credit risk modeling framework to assess multiple dimensions of credit risk, including the creation of three essential models: Probability of Default (PD), Loss Given Default (LGD), and Exposure at Default (EAD).

deep-learning-specialization

This repository contains the programming assignments and slides from the deep learning course from coursera offered by deeplearning.ai

dsci-553

USC 2022 Fall DSCI553(Foundations and Applications of Data Mining) Score: 101.8/100

fraud-detection

Reproducible Machine Learning for Credit Card Fraud Detection - Practical Handbook

medfuse

pytorch-deep-learning

Materials for the Learn PyTorch for Deep Learning: Zero to Mastery course.

tableau-dashboarding

exploring data-related job market in the US with Tableau dashboarding

text-analytics