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  1. Mathematical-Functions-in-Neural-Networks Mathematical-Functions-in-Neural-Networks Public

    The primary objective of this paper is to explore and analyze the essential mathematical functions and equations that underpin neural networks

    Jupyter Notebook 1

  2. p_1_2025 p_1_2025 Public

    use neural network for make a model with use tensorflow

    Jupyter Notebook

  3. transition-probability-matrix transition-probability-matrix Public

    Obtaining the transition probability matrix of a Markov chain

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  4. Gradient-Descent-Algorithms Gradient-Descent-Algorithms Public

    Investigating the performance of gradient descent algorithms in reaching the minimum of a function

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  5. Clustering Clustering Public

    Using Kmeans and Kneighbors algorithm for clustering Iris and Mall data

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