Different methods to QR factorization
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Updated
Jan 18, 2024 - MATLAB
Different methods to QR factorization
Numerical Methods for Ill-Conditioned Matrices - A project with Hilbert Matrix
Supervised ML program which predicts with 65% accuracy whether there is a cat in a given picture.
PicturePrediction is based on machine-learning concepts, aiming to create automated predictions in relation with the nature of certain cats or non-containing cats pictures. Using a data set of given images, it may independently distinguish characteristics of a new picture with an accuracy up to 75%.
Solving the Least Squares Problem via reduced QR factorization by Gram-Schmidt and by Householder triangularization.
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