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Machine-Learning-Classifiers-Using-Scikit-Learn
Machine-Learning-Classifiers-Using-Scikit-Learn PublicA tour through strong machine learning algorithm that are used in academia and industry.
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Dimensionality-Reduction
Dimensionality-Reduction PublicPrincipal Component Analysis (PCA) for unsupervised data compression, Linear Discriminant Analysis (LDA) as a supervised dimensionality reduction technique for maximizing class separability, Nonlin…
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PerceptronNeuron
PerceptronNeuron PublicPerceptron is the first artificial neuron, a simplified brain-cell, also called McCullock-Pitts(MCP) neuron. It is the simple logic gate array with binary outputs. With this perceptron rule, Rosenb…
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Adaptive-Linear-Neuron
Adaptive-Linear-Neuron PublicAdaline was published by Bernard Widrow and his doctoral student Tedd Hoff and can be considered as an improvement on the perceptron algorithm. This algorithm illustrates the key concepts of defini…
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Stochastic-Gradient-Descent
Stochastic-Gradient-Descent PublicImagine we have a very large dataset with millions of data points, which is common in machine learning applications. Running batch gradient descent can be computationally quite costly in such scena…
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