biplot

There are 27 repositories under biplot topic.

  • erdogant/pca

    pca: A Python Package for Principal Component Analysis.

    Language:Jupyter Notebook32245447

  • biocore/empress

    A fast and scalable phylogenetic tree viewer for microbiome data analysis

    Language:JavaScript541433732

  • corybrunson/ordr

    manage ordinations and render biplots in a tidyverse workflow

    Language:R242725

  • friendly/ggbiplot

    A ggplot2 based biplot for principal components-like methods

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  • lmego/customer_segments

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

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  • ankitbit/Multivariate_Analysis

    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"

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  • TextMiningGUI

    c0reyes/TextMiningGUI

    Text Mining and Analysis with Biplots.

    Language:R3100

  • YogiOnBioinformatics/Differential-Gene-Expression-Analysis-with-Machine-Learning-Using-Dexamethasone-Treatment-Data

    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.

    Language:R3002

  • rifset/overview-into-vtubers

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

    Language:R2100

  • anthonyc1/data-visualization

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

    Language:JavaScript1001

  • atecon/pcaTools

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

    Language:Shell110

  • gapkim/USDA_Nutrient_Database

    Analysis of nutrient information from USDA National Nutrient Database using PCA

    Language:R1000

  • moreirab/customer-segments

    Machine Learning Engineer Nanodegree, Unsupervised Learning, Creating Customer Segments

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  • sushantdhumak/Creating-Customer-Segments

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

    Language:Jupyter Notebook110

  • YogiOnBioinformatics/Assorted-Computational-Genomics-Data-Visualizations

    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

    Language:R1101

  • ashva7/customer_segments

    Customer Segments - Machine Learning Nanodegree from Udacity

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  • bjam24/bank_customer_segmentation_methods

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

    Language:Jupyter Notebook0100

  • gouravaich/creating-customer-segments

    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

    Language:Jupyter Notebook0101

  • ibipul/statistical_viz

    This projects focusses on PCA based Statistical Visualization for multivariate large data sets. Popular methods for visualizing PCA transformations are performed in R.

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  • iqbalhanif/Biplot

    Example of Biplot Graph using R

    Language:Jupyter Notebook0200

  • katiebristol/epsilon_Fe2O3_controls

    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.

    Language:Jupyter Notebook0101

  • mmzong/PCA_BreastCancerDetection

    Tutorial code for performing PCA (with mathematical explanation) on breast cancer features computed from digitized images of fine needle aspirate (FNA) of a breast mass. Center the data, calculate correlation matrix, compute principal components, visualize and interpret results.

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  • sonulangaya/metan_ammi_suite

    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!"

    Language:R0100

  • sonulangaya/metan_gge_suite

    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!"

    Language:R0100

  • sonulangaya/metan_waas_suite

    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!"

    Language:R0100

  • Andros-Spica/biplot2d3d

    R package, creation of customizable biplots, both in two and three dimensions. Tested in Windows 7 and Mac OS X 10.9.5.

    Language:R20

  • myaseen208/StabilityApp

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

    Language:R10