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📓 miscellaneous python notebooks

  • Gen AI

    • 🦜️🔗 LangChain starter kit

  • Computer vision

    • SAM: Segment Anything Model (Meta AI)

    • YOLO: You Only Look Once (ultralytics)


  • A/B Testing: Bayesian vs Frequentist (+ Monte Carlo integration)

  • Data Driven Attribution using Shapley value

  • data processing using standard shell tools and commands

  • dotPlot: visualization of data using dots

  • duckdb: an in-process SQL OLAP database management system. Simple, feature-rich, fast & open source.

  • EDA: Exploratory Data Analysis

  • ELMs: Extreme Learning Machines (this is - really - COOL!)

  • Find dominant color(s) in images

  • Make GIFs Great Again!

  • Google APIs: Gemini + Maps APIs

  • Great Tables: Wonderful-looking tables in Python.

  • map: Creating Maps in python using Open Street Maps and NetworkX (OSMnx)

  • MNIST - UMAP vs. t-SNE: comparison (computation time and quality) of UMAP and t-SNE for dimensionality reduction and visualization

  • pySpark (mini) tutorial

  • Sankey diagram

  • Window Functions: SQL-Like Window functions in Pandas


  • misc: some Tips and Tricks

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various notebooks on various topics around data and code

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