35% of Atlas Score
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.
| Machine Learning | 34 |
|---|---|
| Computer Vision | 15 |
| Data Science | 30 |
| NLP & LLMs | 6 |
| AI Agents | 0 |
| MLOps | 8 |
Each node is one domain, scored only from evidence in these public repositories. Select one to see why.
Working projects that apply the domain competently.
63 public repositories → 8 with AI work, evaluated. The other 55 (repositories without AI code, forks and empty repositories) are not scored and have no effect on the result. How repositories are selected
Ordered by how much each project adds to the Atlas score, not by its own score. A project with evidence in several domains can rank above one with a slightly higher project score. Choose a domain to focus on the projects with meaningful evidence there.
35% of Atlas Score
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.
31% of Atlas Score
click-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.
21% of Atlas Score
The repository provides a Jupyter notebook that profiles the Titanic dataset using pandas‑profiling, plus an mdBook outline for a course on ETL and data quality. It functions as an educational demo rather than a complete course or original research.
7% of Atlas Score
Cuke4Data is a proof-of-concept library that parses Gherkin-like syntax to define data manipulation rules, providing basic classes for scenarios and rules but without execution logic.
5% of Atlas Score
This repository is an educational course on ETL concepts and Apache Airflow orchestration, consisting of markdown lessons and example DAGs that illustrate extract-transform-load workflows and scheduling.
<1% of Atlas Score
The repository provides two Bash scripts to automate the installation of TensorFlow with JupyterLab and Apache Airflow on Ubuntu machines.