sci-kit-learn

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.

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 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.

Customer Churn Prediction Model & Data Pipeline

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

Comparing sampling techniques and classification algorithms to predict credit risk

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

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.

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

CodeLab: SUT Machine Learning Community

AI-powered revenue recovery system that combines recoverability prediction, economic optimization, deterministic guardrails, and bounded workflows for failed and at-risk payments.

🏏 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.

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

A machine learning project that analyzes feature influence using Explainable AI techniques such as SHAP and LIME to improve model interpretability and transparency.

Using Python for Data Science

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.

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

AI-powered sentiment analysis tool that classifies movie reviews as positive or negative using Machine Learning and Streamlit.