A shiny application that analyzes financial documents (pdf format) using NLP and machine learning

Using user data from Experience Project website to uncover association patterns among trendy topics

seqArchR: Identifying (promoter) sequence architectures de novo using NMF

🌎Analyse des Indices Boursiers d'Amazon et de Facebook

archR: Identifying promoter sequence architectures de novo using NMF

This repository will hold my experiments in both supervised and unsupervised machine learning tasks.

Exploring data science algorithms in R, Python, and Julia

AIN2002: Introduction to Data Science

Final project for Intro to Data Science w/ R (CAP 5768)

🧐 This project analyzes Amazon Fine Food Reviews to investigate whether negative reviews are more emotionally intense and lexically repetitive than positive ones. Using R, we apply sentiment analysis and lexical diversity metrics to uncover patterns in consumer review language.

Transform data with {tidymodels}, fit models with scikit-learn.

Python & R codes written by Github Copilot. I just write variable names!

A calculus of blank spaces into stacked firewood through an image.

DeFacto is a machine learning-based tool that classifies fake news articles using a hybrid model built with Scikit-learn, TensorFlow, and Keras. The system analyzes social and political content to detect deception in news stories and social media posts, providing a reliable solution to address the growing issue of misinformation.