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manage ordinations and render biplots in a tidyverse workflow
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"
Text Mining and Analysis with Biplots.
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.
Interactive data visualizations for Kaggle Brooklyn Home Sales data, built using D3.js
Analysis of nutrient information from USDA National Nutrient Database using PCA
Machine Learning Engineer Nanodegree, Unsupervised Learning, Creating Customer Segments
Pathway enrichment analysis / visualize for Single Cell Data
VTubers as influencers might sound naive back then, but nowadays their presence is all around us. So, what are they?
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
Customer Segments - Machine Learning Nanodegree from Udacity
The main goal of this project is to use various Clustering Methods for Bank Customer Segmentation.
Apply unsupervised machine learning techniques on product spending data collected for customers of a wholesale distributor in Lisbon, Portugal to identify customer segments hidden in the data
This projects focusses on PCA based Statistical Visualization for multivariate large data sets. Popular methods for visualizing PCA transformations are performed in R.
Example of Biplot Graph using R
Exploratory Data Analysis using machine learning techniques as an exercise for GLY6932 (Data Science and Machine Learning Methods in the Geosciences) at the University of Florida.
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!"
Your one-stop solution for comprehensive genotype × environment interaction and stability analysis (GGE Biplot model) using the metan package. Save time, perform analyses for all traits at once, and gain insightful visualizations effortlessly!"
Your one-stop solution for comprehensive genotype × environment interaction and stability analysis (WAAS model) using the metan package. Save time, perform analyses for all traits at once, and gain insightful visualizations effortlessly!"
R package, creation of customizable biplots, both in two and three dimensions. Tested in Windows 7 and Mac OS X 10.9.5.
Machine Learning Nano-degree Project : To identify customer segments hidden in product spending data collected for customers of a wholesale distributor