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1. Dimensionality-Reduction Dimensionality-Reduction Public

   Principal 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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2. aryalp2.github.io aryalp2.github.io Public

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3. PerceptronNeuron PerceptronNeuron Public

   Perceptron 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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4. Adaptive-Linear-Neuron Adaptive-Linear-Neuron Public

   Adaline 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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5. Stochastic-Gradient-Descent Stochastic-Gradient-Descent Public

   Imagine 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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6. Machine-Learning-Classifiers-Using-Scikit-Learn Machine-Learning-Classifiers-Using-Scikit-Learn Public

   A tour through strong machine learning algorithm that are used in academia and industry.

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