While t-SNE is powerful for capturing non-linear relationships, in practical business settings, there is a strong demand for explainability (business justification) regarding "why it was reduced to ...

I thought it was strange that I couldn't easily find a way to get both these weighted correlations with a single class/function in Python. So I made it myself. This class can be used in a few ...

This repository contains the synthetic dataset, Python code, and visualization outputs for a machine learning demonstration predicting job burnout scores from multiple psychosocial and behavioral ...

The ECO-SAM utilizes a pre-trained BERT encoder to obtain semantic embedding of input texts and then leverages a self-attention mechanism to model the semantic correlation between emotions.

Amplicon sequencing of 16S, ITS, and 18S regions of microbial genomes is a commonly used first step toward understanding microbial communities of interest for human health, agriculture, and the ...