Self-taught data analyst.
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.
Comparing sampling techniques and classification algorithms to predict credit risk
A website where users can find reviews about their favorite local coffee houses
Project code for pedestrian detection using haar and hog cascade. Predicted via several machine learning methods.
Using Python for Data Science
Used Python (scikit-learn) to develop supervised machine learning models to predict credit risk
The first step if you're new to machine learning.
Python Data Analysis & Visualization: Player Size Relative to Performance
Prediction Car prices using a Linear Regression model
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
Exploratory-Data-analysis-heart-failures-obesity-levels-car-sales-online-education-adaptibilty|| Jupyter|| pythons||Numpy|| Pandas
Used Python and unsupervised machine learning to create a report of cryptocurrencies being traded and classify them using unsupervised machine learning
Machine Learning model that predicts the risk of early readmission to the hospital for diabetic patients (within 30 days).
In-class work from Data Science 101 at Pomona College
classifical between Brahms, Beethoven, Bach , and Schubert MIDI Audio Files
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