scree-plot

There are 0 repository under scree-plot topic.

• stefmolin / ml-utils

  Machine learning utility functions and classes.

  roc-curveroc-aucpr-curveprecision-recallprecision-recall-curvepcascree-plotelbow-methodelbow-plotadjusted-r-squaredpipelinemachine-learningconfusion-matrixresiduals
  Language:Python 12

• ArkaB-DS / regressionProjectIITK

  This is a group project for MTH416A: Regression Analysis at IIT Kanpur

  scatterplot-matrixozonevariance-decompotion-proportionvifrmsealternating-conditional-expectationqq-plotshapiro-wilkbreusch-paganridge-regressionprincipal-components-regressionaicmallows-cpstepwise-selectionscree-plotbox-coxauto-arimapredictionmultiple-time-seriesr
  Language:R 2

• apoorvadudani / Positioning-Popular-Consumer-Electronics-Brands-Using-Principal-Component-Analysis

  I use R to analyze survey data to position popular consumer electronics brands using Principal Component Analysis, uncovering key perceptual attributes and providing insights for targeted marketing strategies.

  perceptual-mapprincipal-component-analysisproduct-attributesvariancecorrplotheatmapscree-plot
  Language:R 0

• giladh7 / Simulate-Scree-Plot

  Simulate PCA's Scree Plot under noise

  pcascree-plotsimulationcomponents
  Language:Jupyter Notebook 0

• sakusuma / FundPrioritzation

  HELP International is an international humanitarian NGO that is committed to fighting poverty and providing the people of backward countries with basic amenities and relief during the time of disasters and natural calamities. It runs a lot of operational projects from time to time along with advocacy drives to raise awareness as well as for funding purposes. After the recent funding programmes, they have been able to raise around $ 10 million. Now the CEO of the NGO needs to decide how to use this money strategically and effectively. The significant issues that come while making this decision are mostly related to choosing the countries that are in the direst need of aid. And this is where you come in as a data analyst. Your job is to categorise the countries using some socio-economic and health factors that determine the overall development of the country. Then you need to suggest the countries which the CEO needs to focus on the most. The datasets containing those socio-economic factors and the corresponding data dictionary are provided below.

  ngoclustering-algorithmsingle-linkagepcascree-plotk-means-clusteringelbow-plothierarchical-clustering
  Language:Jupyter Notebook 0

• vincentpun123 / Characterizing-Political-Opinions

  Apply traditional statistical methods such as PCA and FA to characterize political opinions within survey research data

  pcafactor-analysisstatisticsheatmapscree-plotcorrelation-matrixpath-diagrampolitcssurvey-researchpew-research-center
  0

• polimatt / PCA

  This repo contains scripts that can help you pre-process data, carry out principal component analysis (PCA) on them, and plot PCA-relevant plots.

  pcapca-analysisprincipal-component-analysisscikit-learnscree-plotloadings-plotscores-plot
  Language:Jupyter Notebook

• shanujshekhar / Visual_Data_Analytics

  Performing common visual data analytic tasks using Python and D3.js.

  pca-analysismultidimensional-scalingrandom-samplingstratified-samplingk-means-clusteringelbow-methodscree-plotscatterplot-matrix
  Language:HTML