Principal component analysis for 2D points
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Updated
Oct 24, 2014 - C++
Principal component analysis for 2D points
Principal Component Analysis and Fashion
PCA face recognition and detection in MATLAB
Applied Machine Learning
My projects from the Stanford Machine Learning course offered on Coursera by Professor Andrew Ng.
Implementation of Machine Learning Algorithms
principal component analysis of leaf data set.
Principal component analysis (PCA) in Ruby
Implemented Principal Component Analysis to rank players who participated in the Indian Premiere League - 2012 based on the paper- "An Introductory Application of Principal Components to Cricket Data" by Ananda B.W. Manage & Stephen M. Scariano of Sam Houston State University.
Comparison of principal components analysis with diffusion maps on toy data sets and a molecular simulation trajectory
Simple face recognition algorithm
Provided various examples of data analytic techniques using R language
Gaussian mixture modelling - Unsupervised learning
A replication (sorta) of the Rogers and McClelland neural network for learning categories of living things
Image Analysis using PCA in Python.
Principal Component Analysis and Linear Regression using Racket
Graphical software that uses PCA to detect collisions of 3D models
Decision Trees, Random Forest, Dynamic Time Warping, Naive Bayes, KNN, Linear Regression, Logistic Regression, Mixture Of Gaussian, Neural Network, PCA, SVD, Gaussian Naive Bayes, Fitting Data to Gaussian, K-Means
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