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  1. Regression_SVR Regression_SVR Public

    Implemented support vector regression model

    Jupyter Notebook 1

  2. Classification_KernelSVM Classification_KernelSVM Public

    In linear svm the data is linearly separable but here it is not linearly separable. So, non linear data is mapped to a higher dimension space and then it is projected onto original plane and linear…

    Jupyter Notebook 1

  3. natural_language_processing natural_language_processing Public

    Jupyter Notebook

  4. association_rule_learning association_rule_learning Public

    Jupyter Notebook

  5. Dimensionality_Reduction_KernelPCA Dimensionality_Reduction_KernelPCA Public

    Kernel PCA is applied for non linear model.Our data is mapped to a higher dimension and then features are extracted from it.

    Jupyter Notebook 1

  6. Dimensionality_Reduction_LDA Dimensionality_Reduction_LDA Public

    LDA(Feature Extraction model) for Linear Problems .From 'n' independent variables , LDA extracts p<=n new independent variable that separates the most of the classes of the dependent variable. Depe…

    Jupyter Notebook