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Teaching Visualizations

Visualizations useful for teaching statistics, machine learning and data science.
Showing all 13 listings
1.
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Understanding diffusion models in 2-D
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Gabe Hope
Sep 23, 2024
2.
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Extended Neural Network Playground
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Gabe Hope
Sep 23, 2024
3.
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Logistic regression This notebook is a fork
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Gabe Hope
Jan 28, 2025
4.
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Bootstrapping
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Gabe Hope
Sep 24, 2024•1
5.
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Linear regression This notebook is a fork
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Gabe Hope
Jan 26, 2025
6.
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Fitting mixture models
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Gabe Hope
Sep 24, 2024
7.
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Maximum Likelihood (Negative Binomial) This notebook is a fork
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Gabe Hope
Oct 15, 2024
8.
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Kernel Density Estimates
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Gabe Hope
Sep 23, 2024
9.
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Histograms
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Gabe Hope
Sep 24, 2024
10.
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2-D Histogram and Hexbin This notebook is a fork
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Gabe Hope
Oct 1, 2024•1
11.
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Maximum Likelihood (Poisson)
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Gabe Hope
Sep 23, 2024
12.
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Datasets!
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Gabe Hope
Sep 23, 2024•1
13.
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Mixture distributions
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Gabe Hope
Sep 24, 2024
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Platform
  • Observable Notebooks
  • Pricing
Docs
  • Observable
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  • D3
  • Release notes
Resources
  • Blog
  • Webinars
  • Videos
  • Customer stories
  • Forum
Company
  • About
  • Careers
  • GitHub
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