Principle Component Analysis
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Updated
Nov 27, 2022 - R
Principle Component Analysis
Provided various examples of data analytic techniques using R language
Fiverr Project
Using R, R Markdown
This repository provides code in R for the computer vision problem of human face recognition.
Principal component analysis using R
This project includes framework for creating multivariate process monitoring control charts, identifying out-of-control points and removing the out-of-control data points (All the iterations are identified automatically by a loop and removed). The project also gives reader an idea of the approach followed for dimension reduction using PCA.
computational multivariate statistics course, scripts for data analysis and classification
Data Understanding using- PCA, LDA, tSNE, and UMAP.
Elementary algorithm for face recognition using PCA
Re-sampled dimensional reduction (RSDR)
Principal Component Analysis (PCA) to determine Spending Habits of Youth based on their Movie Genre Preferences & Personality Traits
Machine learning educational projects.
Homework for Special Chapters Of Artificial Intelligence course
En la Ciudad de México, las concentraciones de estos contaminantes atmosféricos están correlacionadas espacialmente, por lo que un análisis estadístico que no tenga en cuenta este hecho podría dar lugar a estimaciones incorrectas de los efectos de cada contaminante.
Exploratory data analysis of geochemical and biogeochemical data for use in mineral exploration and environmental studies.
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