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Kernel Density Estimation · Awesome GitHub Repositories

1 repo

Awesome GitHub RepositoriesKernel Density Estimation

Non-parametric methods for estimating probability density functions.

Distinguishing note: Focuses on kernel-based smoothing techniques.

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  • jakevdp/PythonDataScienceHandbook

    jakevdp/PythonDataScienceHandbook

    46,802View on GitHub↗

    This project is an interactive data science environment that combines code execution, rich media visualization, and narrative documentation into a persistent, browser-based platform. It serves as a comprehensive educational resource for scientific computing, providing a framework for iterative data analysis and machine learning prototyping. The environment is distinguished by its focus on high-performance numerical computing, utilizing vectorized array operations and memory-mapped data structures to handle large-scale computations efficiently. It features a unified estimator interface that st

    Smooths out data distributions by placing kernels at each point to visualize and analyze density patterns.

    Jupyter Notebookjupyter-notebookmatplotlibnumpy
    46,802View on GitHub↗