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amazonfinefoodreviewclassification

In this repository i have used various machine learning algorithms such as logistic regression, naive bayes, knn, svm, decision trees, random forest and xgboost to classify if a given review is positive or negative.

avatar-paper

bios_635

county_preparedness

Reproducible code for our BMJ Open paper about county-level characteristics and equitable COVID-19 response.

ctkg

The Clinical Trials Knowledge Graph

dhs-indicators-r

R code to produce Demographic and Health Survey Indicators

fairness_tutorial

Hands-on tutorial on ML Fairness

flights-dashboard

Flights-Dashboard Using Shiny (Data Base System in Lokal, External, and R Memory)

ghrbook

Repo for online textbook

heart-disease-prediction-using-machine-learning-r-and-shiny-

Creation of a Web application using R and Shiny for prediction of Heart Disease using Machine Learning

interpretable_and_fair_ml

Interpretability and Fairness in Machine Learning

islr-tidymodels-labs

machine-learning-with-python

Python code for common Machine Learning Algorithms

maternal-mortality-project

Explore the maternal mortality dataset and create the dashboard to interpret the dataset by visualization. Applied Machine Learning to predict future events based on various factors.

maymester-text-as-data-2022

Code and data repository for Text As Data Course (UGA Maymester 2022, POLS 8500)

r-shiny-docker-renv

Example deployment of R Shiny App using Docker and renv

r4epi

Repository for the R for Epidemiology book

rmph_resources

Datasets and scripts needed for Introduction to Regression Methods for Public Health Using R

shiny_class

Introduction to Shiny reading and conference class materials

textasdata

This is a repo for a class on Text as Data