Heart Disease prediction and Breast Cancer Detection

"oxayavongsa/projects" is a public GitHub repository serving as a diverse AI/ML Project Portfolio. Using Python coding and Juptyer notebook for multiple methodologies to model statistical algorithms.

This repository contains various Image Classification projects which have been built using TensorFlow.

An experimental application for detection of plagiarism in source code using NLP techniques and Similarity Detection Algorithms

Comparing sampling techniques and classification algorithms to predict credit risk

A website where users can find reviews about their favorite local coffee houses

Customer Churn Prediction Model & Data Pipeline

☯︎ Simulate the winner of a hypothetical fight using machine learning

Using Python for Data Science

An end-to-end machine learning project that predicts anxiety severity using classification models (Naive Bayes, Decision Tree, SVM, Logistic Regression, XGBoost), based on lifestyle, health, and behavioral features.

Developed deep learning neural network models using Python (tensorflow, scikit-learn) to predict whether non-profit organizations would be good candidates for donations

Project code for pedestrian detection using haar and hog cascade. Predicted via several machine learning methods.

A Data Science model that supports early-stage fraud flagging to reduce financial loses

classifical between Brahms, Beethoven, Bach , and Schubert MIDI Audio Files

In-class work from Data Science 101 at Pomona College

Used Python and unsupervised machine learning to create a report of cryptocurrencies being traded and classify them using unsupervised machine learning

Notes while learning to code in python

Used Python (scikit-learn) to develop supervised machine learning models to predict credit risk

Penguin species prediction using the Palmer Penguins dataset and multiple ML algorithms.

Uses unsupervised learning to cluster remote workspaces based on ambient noise and environmental factors for enhanced focus.