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MaxHalford avatar

MaxHalford/prince

0
View on GitHub↗
1,466 stars·192 forks·Python·MIT·8 viewsmaxhalford.github.io/prince↗

Prince

:crown: Multivariate exploratory data analysis in Python — PCA, CA, MCA, MFA, FAMD, GPA

Features

  • Dimensionality Reduction - Factor analysis and dimensionality reduction methods.
  • Feature Engineering Tools - Multivariate exploratory data analysis.

Star history

Star history chart for maxhalford/princeStar history chart for maxhalford/prince

How this analysis was created: This summary and feature list are AI-generated from collected project material and can contain mistakes. Stars, license and language are imported from GitHub. Inclusion does not mean that we have tested or audited this project. Check the source documentation for any feature you depend on. Learn more on our About page.

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Projects sharing features with Prince

These projects share indexed features with Prince. Shared tags can include platform or build tooling; verify the primary use case before treating a result as a replacement.
  • tensorflow/tensorboardtensorflow avatar

    tensorflow/tensorboard

    7,193View on GitHub↗

    TensorBoard is a visualization toolkit for tracking and analyzing machine learning model training progress and performance using TensorFlow event logs. It provides a monitoring dashboard for plotting scalar metrics, tensor distributions, and training curves, and includes specialized tools for visualizing neural network computational graphs and projecting high-dimensional embeddings. The project enables side-by-side comparison of multiple training runs to analyze the impact of hyperparameters on model outcomes. It also features a high-dimensional embedding projector and a graph visualizer for

    TypeScript
    View on GitHub↗7,193
  • cs231n/cs231n.github.iocs231n avatar

    cs231n/cs231n.github.io

    10,923View on GitHub↗

    This project is a static educational website and comprehensive curriculum focused on computer vision and deep learning. It serves as a public repository of instructional materials, lecture notes, and technical guides specifically detailing convolutional neural networks and visual recognition. The site is developed using static-site generation to host course documentation and student project directories. It provides structured academic resources that guide learners through image classification, generative modeling, and the implementation of various neural network architectures. The curriculum

    Jupyter Notebook
    View on GitHub↗10,923
  • beringresearch/ivisB

    beringresearch/ivis

    0View on GitHub↗
    View on GitHub↗0
  • cannylab/tsne-cudaCannyLab avatar

    CannyLab/tsne-cuda

    1,925View on GitHub↗

    GPU Accelerated t-SNE for CUDA with Python bindings

    Cudabarnes-hutbarnes-hut-tsnecuda
    View on GitHub↗1,925
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Frequently asked questions

What does maxhalford/prince do?

:crown: Multivariate exploratory data analysis in Python — PCA, CA, MCA, MFA, FAMD, GPA

What are the main features of maxhalford/prince?

The main features of maxhalford/prince are: Dimensionality Reduction, Feature Engineering Tools.

Which projects share features with maxhalford/prince?

Projects with overlapping indexed features include: tensorflow/tensorboard — TensorBoard is a visualization toolkit for tracking and analyzing machine learning model training progress and… cs231n/cs231n.github.io — This project is a static educational website and comprehensive curriculum focused on computer vision and deep… beringresearch/ivis. cokelaer/fitter — ############################# FITTER documentation #############################. cannylab/tsne-cuda — GPU Accelerated t-SNE for CUDA with Python bindings. alteryx/featuretools — Featuretools is an automated feature engineering library and data transformation framework written in Python. It…