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Gaussian-process-regression-in-R
Gaussian-process-regression-in-R PublicGaussian process regression (GPR) is a nonparametric, Bayesian approach to regression that is making waves in the area of machine learning. GPR has several benefits, working well on small datasets …
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tool-wear-monitoring-in-milling-processes
tool-wear-monitoring-in-milling-processes PublicBuilding a system based on combinations of a shape descriptor and a contour descriptor for classifying inserts in milling processes according to their wear level following a computer vision based a…
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LDA-Linear-Discriminant-Analysis-
LDA-Linear-Discriminant-Analysis- PublicAt this repository I will code the LDA step by step.
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Principal-Components-Analysis-PCA-in-R
Principal-Components-Analysis-PCA-in-R PublicPrincipal component analysis is a technique for feature extraction — so it combines our input variables in a specific way, then we can drop the “least important” variables while still retaining the…
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Logistic-regression-from-scrach-in-Python
Logistic-regression-from-scrach-in-Python PublicAt this repository I coded the Logistic regression from scrach using Python 3.7
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Les-antennes-de-la-Loire
Les-antennes-de-la-Loire PublicWe study the influence of the location of antennas for the covering of a territory. One antenna is characterized by its location (longitude and latitude) and its radius of emission. The territory i…
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