Lists (8)
Starred repositories
Curated coding interview preparation materials for busy software engineers
Apache Superset is a Data Visualization and Data Exploration Platform
scikit-learn: machine learning in Python
Apache Airflow - A platform to programmatically author, schedule, and monitor workflows
Apache Spark - A unified analytics engine for large-scale data processing
This is a repo with links to everything you'd ever want to learn about data engineering
🤗 The largest hub of ready-to-use datasets for AI models with fast, easy-to-use and efficient data manipulation tools
Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.
Download, model, analyze, and visualize street networks and other geospatial features from OpenStreetMap.
Long list of geospatial tools and resources
Prometheus exporter for Windows machines
Rasterio reads and writes geospatial raster datasets
Gallery of OSMnx tutorials, usage examples, and feature demonstrations.
Import OpenStreetMap data into a PostgreSQL/PostGIS database
Build data pipelines with SQL and Python, ingest data from different sources, add quality checks, and build end-to-end flows.
Repository contains pgRouting library. Development branch is "develop", stable branch is "master"
This is a public repository to go over all the LLM-driven data engineering concepts.
MapToPoster JS is a client-side web app that turns any location into a high-resolution, customizable map poster with various themes, layouts, and export options.
Course materials for: Geospatial Data Science
A list of open geospatial datasets available on AWS, Earth Engine, Planetary Computer, NASA CMR, and STAC Index
Source for Who're Interested in Data!
İstanbul'da Makine Öğrenmesi (27 Ocak- 2 Şubat, 2020) - Ders malzemeleri
Tutorials for PandasAI