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rupalshrivastava/README.md

Hi there 👋

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  1. Linear-and-Logistic-Regression-by-implementing-gradient-decent-algorithm Linear-and-Logistic-Regression-by-implementing-gradient-decent-algorithm Public

    Segmentation GPU Kernel Performance Dataset. Data Set Characteristics: Multivariate Number of Instances: 241600 Area: Computer Attribute Characteristics: Integer Number of Attributes: 18 Date Donat…

    Jupyter Notebook 1

  2. Supervised-Machine-Learning Supervised-Machine-Learning Public

    Implemented support vector machines, boosting, and decision trees for classification problems. Used cross-validation for improving model accuracy. Plotted different types of learning curves like er…

    Jupyter Notebook

  3. Artificial-Neural-Network-and-K-Nearest-Neighbors Artificial-Neural-Network-and-K-Nearest-Neighbors Public

    Implemented Artificial Neural Networks, and K nearest neighbors for classification problems. Used cross-validation for improving model accuracy. Plotted different types of learning curves like erro…

    Jupyter Notebook

  4. Unsupervised-Learning Unsupervised-Learning Public

    Performed feature dimensionality reduction algorithms including feature selection, PCA, ICA, and Randomized Projections. Implemented K means, and Expectation Maximization for classification cluster…

    Jupyter Notebook 1

  5. rupalshrivastava rupalshrivastava Public