Lists (8)
Starred repositories
Prometheus exporter for Windows machines
All Tableau workbooks, datasets, and resources for students from Data with Baraa’s YouTube Tableau series. The most comprehensive Tableau & SQL guide from a real-world expert! Learn everything from…
🌎 Python SDK for UP42, the geospatial marketplace and developer platform.
DBT configuration for my geospatial CRUD project
Geospatial project for geo data engineering fundamentals
Zero2End Machine Learning Bootcamp
Tutorials for PandasAI
Data Analysis, Model Building and Deploying with WML on IBM Cloud Pak for Data
Notes and Python scripts for A/B or Split Testing
Evaluate Wildfire Environmental Impact and Assess Burn Severity Consequences using Cloud Based Geoprocessing via Earth Engine Streamlit App.
Monitor Vegetation Health by Viewing & Comparing NDVI Values & Satellite Images On The Fly!
The h3-indexer is an open source package for indexing geospatial data using PySpark, Apache Sedona and the H3 hierarchical spatial indexing system. The h3-indexer maps any number of vector-type geo…
This repository includes sample data tables especially designed for data visualization examples.
Proof of Concept: Transfer of a Power BI dashboard template to another semantic model
Realtime Emotion-to-Dashboard Demo using Python, DeepFace, Azure Event Hub and Microsoft Fabric – built for fun, learning and live gaming scenarios.
Source for Who're Interested in Data!
Build data pipelines with SQL and Python, ingest data from different sources, add quality checks, and build end-to-end flows.
Curated coding interview preparation materials for busy software engineers
Repository contains pgRouting library. Development branch is "develop", stable branch is "master"
Long list of geospatial tools and resources
Download, model, analyze, and visualize street networks and other geospatial features from OpenStreetMap.
This is a repo with links to everything you'd ever want to learn about data engineering
This is a public repository to go over all the LLM-driven data engineering concepts.
Course materials for: Geospatial Data Science
Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.