Self-taught data analyst.
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Updated
Sep 11, 2023 - Jupyter Notebook
Self-taught data analyst.
Heart Disease prediction and Breast Cancer Detection
Comparing sampling techniques and classification algorithms to predict credit risk
A website where users can find reviews about their favorite local coffee houses
This repository contains various Image Classification projects which have been built using TensorFlow.
"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 (scikit-learn) to develop supervised machine learning models to predict credit risk
Using Python for Data Science
Project code for pedestrian detection using haar and hog cascade. Predicted via several machine learning methods.
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.
This predicts that will a previous donor donate blood in a given month or not
Used Python and unsupervised machine learning to create a report of cryptocurrencies being traded and classify them using unsupervised machine learning
Python Data Analysis & Visualization: Player Size Relative to Performance
Prediction Car prices using a Linear Regression model
Developed deep learning neural network models using Python (tensorflow, scikit-learn) to predict whether non-profit organizations would be good candidates for donations
Notes while learning to code in python
LS Unit II Portfolio Project - Ensemble Learning for Drought Severity Predictions
Stock market prediction using LSTM model
Simulate the winner of a hypothetical fight using machine learning
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