kraina-ai/srai-tutorial
A tutorial for the SRAI library
This project provides a comprehensive guide for anyone looking to apply machine learning techniques to geographic information. You'll learn how to take raw geospatial data, such as maps and location information, and transform it into insights or predictive models. It's designed for data scientists, urban planners, or researchers who work with spatial data and want to leverage AI for analysis.
Use this if you're a data professional with basic Python skills and want to learn how to clean, analyze, visualize, and build machine learning models using geospatial data.
Not ideal if you're looking for a plug-and-play application to solve a specific business problem without needing to write code.
Stars
38
Forks
5
Language
Jupyter Notebook
License
Apache-2.0
Category
Last pushed
Nov 05, 2025
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/kraina-ai/srai-tutorial"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
Marktechpost/AI-Tutorial-Codes-Included
Codes/Notebooks for AI Projects
microsoft/AI-For-Beginners
12 Weeks, 24 Lessons, AI for All!
airbus/scikit-decide
AI framework for Reinforcement Learning, Automated Planning and Scheduling
nearai/program_synthesis
Program Synthesis
papagiannakis/Elements
Project Elements: A computational entity-component-system in a scene-graph pythonic framework,...