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  1. Unsupervised-Learning-PCA-and-Kmeans- Unsupervised-Learning-PCA-and-Kmeans- Public

    The objective is classifying coronary heart disease with 2 classes 0 or 1 using logistic regression with 9 features and clustering using k-means

    Jupyter Notebook 2

  2. Neural-Networks Neural-Networks Public

    Simple deep learning networks for classifications, with different architectures of Neural Networks and their configurations.

    Jupyter Notebook 1

  3. LogisticRegression LogisticRegression Public

    Implementation of Logistic Regression via Gradient Descent (GD), using 9 features, and predict heart disease which has 2 classes (0 and 1).

    Jupyter Notebook 1

  4. LinearRegression LinearRegression Public

    Gradient Descent for Linear Regression

    Jupyter Notebook 1

  5. ProteinConcentrationMachineLearning ProteinConcentrationMachineLearning Public

    Jupyter Notebook 1

  6. Public Public Public

    Forked from tofighi/Public

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