"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.
-
Updated
May 28, 2024
"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.
Used Python and unsupervised machine learning to create a report of cryptocurrencies being traded and classify them using unsupervised machine learning
This predicts that will a previous donor donate blood in a given month or not
Using Python for Data Science
This project is built using MERN Stack & Tailwind CSS! As the condition of earth is uncertain, we can't but look for alternative habitual planets to hold onto the survival of human race and so we've developed this project to encourage amateur astronomers, citizen scientists and anybody interested to carry out research on Mars!
Self-taught data analyst.
Comparing sampling techniques and classification algorithms to predict credit risk
Notes while learning to code in python
A website where users can find reviews about their favorite local coffee houses
Heart Disease prediction and Breast Cancer Detection
classifical between Brahms, Beethoven, Bach , and Schubert MIDI Audio Files
Developed deep learning neural network models using Python (tensorflow, scikit-learn) to predict whether non-profit organizations would be good candidates for donations
Used Python (scikit-learn) to develop supervised machine learning models to predict credit risk
This is a Python Simple Linear Regression project that takes in an excel spreadsheet with 2 continuous variables, one independent and the other dependent, and it'll split the data into training and test data on 80/20 ratio. We use the training data to create a model then we use the test data to calculate the Mean Square Error of the model.
Stock market prediction using LSTM model
In-class work from Data Science 101 at Pomona College
Implementação da biblioteca Scikit-Learn para uso de aprendizado de máquina
Machine Learning model that predicts the risk of early readmission to the hospital for diabetic patients (within 30 days).
LS Unit II Portfolio Project - Ensemble Learning for Drought Severity Predictions
Add a description, image, and links to the sci-kit-learn topic page so that developers can more easily learn about it.
To associate your repository with the sci-kit-learn topic, visit your repo's landing page and select "manage topics."