Art of Stat: Machine Learning

Learn and apply ML algorithms

Free · Designed for iPad

Supervised & Unsupervised Learning with Train/Test Split, Accuracy Assessment, Visualizations The Art of Stat: Machine Learning app includes methods for supervised and unsupervised learning, lets you split data into training and test sets, visualizes all methods, including predictions and heatmaps, and lets you assess the accuracy of your algorithm by showing the confusion matrix and more. Included ML algorithms so far include: - Multiple Linear Regression - Discriminant Analysis (Linear & Quadratic) - Naive Bayes - K-Means Clustering Soon to be released: -Multiple Logistic Regression -Decision Trees & Random Forests Functionality: - Provides various datasets (Palmer Penguins, Wine Quality, Heart Disease, Iris Flowers, Credit Card Defaults, ...) or lets user upload their own CSV file - Split data into training and test sets - Standardize Features - Select continuous and/or categorical features (where appropriate) - Visualize all methods (Scatterplots, Heatmaps) - Assess Accuracy by displaying Confusion matrix and accuracy statistics in multiple ways - Make predictions for new observations

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The developer, Bernhard Klingenberg, indicated that the app’s privacy practices may include handling of data as described below. For more information, see the developer’s privacy policy .

  • Data Not Collected

    The developer does not collect any data from this app.

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    Accessibility

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    Information

    • Seller
      • Bernhard Klingenberg
    • Size
      • 34.8 MB
    • Category
      • Education
    • Compatibility
      Requires iOS 15.1 or later.
      • iPhone
        Requires iOS 15.1 or later.
      • iPad
        Requires iPadOS 15.1 or later.
      • iPod touch
        Requires iOS 15.1 or later.
      • Mac
        Requires macOS 12.0 or later and a Mac with Apple M1 chip or later.
      • Apple Vision
        Requires visionOS 1.0 or later.
    • Languages
      • English
    • Age Rating
      4+
    • Copyright
      • © 2025 Bernhard Klingenberg
  • Privacy Policy

    • More by Bernhard Klingenberg