🐧 Predict penguin species using a machine learning app that analyzes physical traits and habitat for instant, insightful results.

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 interactive ML web app predicting Titanic survival using features like age, sex, class, family size, and fare. Built with Python, scikit-learn, and Streamlit, it provides real-time predictions for educational and demo purposes.

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

Trial activation analysis for a 30-day SaaS trial — behavioural event data, conversion driver analysis, dbt SQL models, and an interactive analytics dashboard. Built for the Splendor Analytics Data Analyst Challenge.

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.

Comparing sampling techniques and classification algorithms to predict credit risk

Air Quality Index (AQI) Prediction Using Random Forest Regressor(Sci-kit)

Customer Churn Prediction Model & Data Pipeline

CodeLab: SUT Machine Learning Community

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

🏏 IPL Roster Optimizer - It Is A full-stack AI-powered web application that helps IPL teams optimize their player rosters, identify undervalued talent, and make data-driven decisions about trades and contracts with help Machine Learning & Predictive Models.

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

ML analysis of 284K+ transactions - 94% fraud recall using SMOTE and logistic regression

Geospatial ML pipeline predicting river water quality across South Africa using satellite, climate, and terrain data. EY Open Science AI & Data Challenge 2026 — top 10%, R² = 0.44.

Using Python for Data Science

Prediction Car prices using a Linear Regression model

End-to-end churn prediction pipeline with SHAP explainability and a Streamlit web app. Built on the Telco Customer Churn dataset.