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Intermediate Machine Learning in Python for Environmental Science Problems
GEOS 657 Microwave Remote Sensing (U. Alaska Fairbanks)
Free and open source library for AI object detection and semantic segmentation in geospatial rasters. 🚀
Implementation of a Q&A Chatbot with RAG using the Data Engineering Community WhatsApp group messages.
Techniques for deep learning with satellite & aerial imagery
GeoInsight Pro is an advanced geospatial AI application designed to revolutionize satellite imagery analysis using cutting-edge technologies like Streamlit and Groq API.
Github Pages template based upon HTML and Markdown for personal, portfolio-based websites.
Geospatial library wheels for Python on Windows.
Machine Learning for Earth Observation Training of Trainers Bootcamp
Streetview Widget for ESRI WebApp Builder 1.1
Repository for Digital Earth Africa Sandbox, including: Jupyter notebooks, scripts, tools and workflows for geospatial analysis with Open Data Cube and xarray
Data Analytics & Engineering Repo with demonstration of basic ci/cd setup for data teams.
Open Source search based on OpenStreetMap data
datacamp Data Engineer with Python course. 73 hours/ 19 Courses /2 Skill Assessments
Fast and efficient access to geospatial data for Nigeria.
Code samples used on cloud.google.com
This is an end-to-end data engineering task which includes the use of PostgreSQL database, Apache Airflow, Google Cloud Storage bucket , Google Big Query and Google Looker studio. The aim to automa…
Example JavaScript source code for ArcGIS imagery apps (Landsat Explorer and Sentinel Explorer) that you can expand or customize.
Repository for webinar content
Data Engineering Zoomcamp is a free nine-week course that covers the fundamentals of data engineering.
Resources for the free AWS Data Engineering course on youtube
Data Engineering Practice Problems
Worldwide building footprints derived from satellite imagery
Repo for: Predicting Airbnb prices - IBM's Data Science Professional Certificate Capstone
The repository contains script and notebook related to Statistics, Machine learning, Neural network, Deep learning, NLP, Numerical methods, and Automation.
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.
A Python package that automates the exploratory spatial data analysis (ESDA) process by summarizing the results in an HTML report
This repository has all what concerns hate speech detection in social media using data science. It is an Omdena training course