This project aims to classify mushrooms as edible or poisonous and extract a simple rule list for identification.

"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 is the 6th and final (capstone) project of Udacity's Predictive Analytics Nanodegree

This repository aims at constructing a robust classification model to help streamline the process of identifying Iris flower species.

This project tackles the issue of clean water access in Tanzania, a developing country with over 57 million people. It aims to build a classifier that predicts water well conditions using data like pump type and installation date, helping NGOs and the government identify wells needing repairs, improve future construction, and reduce failure.

Predicting Rocket Launch Success with Machine Learning (including Data collection, Web scraping, EDA with SQL, Visualization, Folium Map, Dashboard)

Visualising Accuracy vs. Fairness in ML models using AIF360 tools and dataset