Educational Implementation

Azure-DP-100-Data-Scientist-Study-Guide

Azure DP-100 Data Scientist Study Guide

Iñigo@igponce · Atlas 30.2 · #17= builder

What it is

This repository is an unofficial study guide for the Microsoft Azure DP-100 Data Scientist exam, consisting of markdown chapters that outline exam objectives and related concepts.

Scored from the code at its last scan, 23 Oct 2026. How merit is scored

Where it counts

Machine Learning80%
Data Science60%
MLOps20%
Computer Vision10%
NLP & LLMs10%

How much of the project is about each field, as scoring counts it. It ranks in the field it is most about.

Around it on the Machine Learning board

Whole board

RankProjectBuilderFieldMerit

66ckpe-livive-netEducational Implementation · JavaScriptThe repository documents a Constrained Kinematic Pose Estimator (CKPE) that compiles sign language kinematics into a deterministic runtime artifact and provides a vanilla JavaScript SPA for visualizing the compiled sequences.37.9/100ExplorationJarad PeckenpaughMachine Learning
67Rapper-Toon-SheetML Application · TypeScriptRapper Toon Sheet is a full-stack web application for generating cartoon-realism character reference sheets from user photos using external AI APIs. It features a React frontend, Node.js/Express backend, and Docker-based deployment.36.6/100ExplorationMaster MindMachine Learning
68Azure-DP-100-Data-Scientist-Study-GuideEducational Implementation34.6/100ExplorationIñigoMachine Learning
69click-labelerAI Developer Tool · Pythonclick-labeler is a simple point-and-click image labeling utility that lets users mark points on images and saves the normalized coordinates to a .points file.34.1/100ExplorationIñigoMachine Learning
70wasm-livive-netEducational Implementation · HTMLThe repository is a static informational site explaining WebAssembly usage across the livive.net project portfolio, providing documentation, comparative analysis, and educational content about WASM trade-offs and rationales.33.7/100ExplorationJarad PeckenpaughMachine Learning

What it is

Where it counts

Around it on the Machine Learning board

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