pca: A Python Package for Principal Component Analysis.

A fast and scalable phylogenetic tree viewer for microbiome data analysis

manage ordinations and render biplots in a tidyverse workflow

A ggplot2 based biplot for principal components-like methods

Creating Customer Segments - 4th project for Udacity's Machine Learning Nanodegree

This repository contains materials associated to the course "Multivariate Analysis" taught at the Faculty of Mathematics and Statistics (FME), UPC under the MESIO-UPC-UB Interuniversity Program under the instructors "Ferran Revertar", "Miguel Salicru" and "Jan Graffelman"

VTubers as influencers might sound naive back then, but nowadays their presence is all around us. So, what are they?

Worked with fellow peers at University of Pittsburgh under supervision of Dr. Junshu Bao, Department of Statistics, University of Pittsburgh, to do a Differential Gene Expression Analysis on a Dexamethasone treatment data set and incorporated Machine Learning into project.

Text Mining and Analysis with Biplots.

Analysis of nutrient information from USDA National Nutrient Database using PCA

Interactive data visualizations for Kaggle Brooklyn Home Sales data, built using D3.js

Machine Learning Nano-degree Project : To identify customer segments hidden in product spending data collected for customers of a wholesale distributor

Package for conducting PCA incl. scree-plot and bi-plot

R script for creating beautiful biplots - all in base R, no other packages required.

Machine Learning Engineer Nanodegree, Unsupervised Learning, Creating Customer Segments

Biplots, Volcano plots, PCA plots, Heatmaps and more Computational Genomics data created and visualized during University of Pittsburgh course, Computational Biology (BIOSC1540), with Dr. Miler Lee

StabilityApp: Stability Analysis App for Genotype by Environment Interaction (GEI) in Multi-Environment Trials

The main goal of this project is to use various Clustering Methods for Bank Customer Segmentation.

Example of Biplot Graph using R

Your one-stop solution for comprehensive genotype × environment interaction and stability analysis (AMMI model) using the metan package. Save time, perform analyses for all traits at once, and gain insightful visualizations effortlessly!"