Heart Disease prediction and Breast Cancer Detection
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Updated
Feb 2, 2023 - Jupyter Notebook
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.
Comparing sampling techniques and classification algorithms to predict credit risk
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)
Customer Churn Prediction Model & Data Pipeline
A website where users can find reviews about their favorite local coffee houses
☯︎ Simulate the winner of a hypothetical fight using machine learning
Using Python for Data Science
Project code for pedestrian detection using haar and hog cascade. Predicted via several machine learning methods.
Prediction Car prices using a Linear Regression model
classifical between Brahms, Beethoven, Bach , and Schubert MIDI Audio Files
In-class work from Data Science 101 at Pomona College
Developed deep learning neural network models using Python (tensorflow, scikit-learn) to predict whether non-profit organizations would be good candidates for donations
A Data Science model that supports early-stage fraud flagging to reduce financial loses
Notes while learning to code in python
Used Python and unsupervised machine learning to create a report of cryptocurrencies being traded and classify them using unsupervised machine learning
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