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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Updated
Feb 11, 2014 - R
This projects focusses on PCA based Statistical Visualization for multivariate large data sets. Popular methods for visualizing PCA transformations are performed in R.
Lecture notes from the Computational Intelligence Lab (CIL) at ETH Zurich
Principal component analysis for 2D points
PCA face recognition and detection in MATLAB
Udacity Nanodegree Project 3: Example of unsupervised learning. Creating customer segments.
MachineLearning Examples with Python
Faces recognition example using eigenfaces and SVMs
Jackstraw Weighted Shrinkage Methods
Animated Visualizations of Popular Machine Learning Algorithms
Principal component analysis (PCA) in Ruby
Supervised and unsupervised Machine Learning on Boston housing prices data
Machine Learning Exercises from Online Course (Coursera)
Statistical analysis of gene expression data with multiple comparison tests in R.
Creating Customer Segments - 4th project for Udacity's Machine Learning Nanodegree
Predicting non-functional water pumps with a random forest classifier trained on features from numerical and categorical data.
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