Ecosyste.ms: Awesome
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Projects in Awesome Lists by geonextgis
A curated list of projects in awesome lists by geonextgis .
https://github.com/geonextgis/python-basics-learn-to-code-from-scratch
Welcome to "Python Basics: Learn to Code from Scratch"! This is a comprehensive course designed for beginners who want to learn Python from scratch. In this repository, you will find all the course materials, including notebooks, assignments, and solutions.
basic-programming course-materials fundamentals-of-programming jupyter-notebook object-oriented-programming python python3
Last synced: 24 Jan 2025
https://github.com/geonextgis/pyimgproc-image-processing-using-python
The "PyImgProc-Image-Processing-using-Python" GitHub repository is a comprehensive resource for image processing tasks implemented in Python.
Last synced: 24 Jan 2025
https://github.com/geonextgis/geomapper
A Python package demo for geospatial
Last synced: 24 Jan 2025
https://github.com/geonextgis/mastering-machine-learning-and-gee-for-earth-science
This repository is designed to empower individuals with advanced expertise in integrating Machine Learning techniques with Google Earth Engine (GEE).
Last synced: 24 Jan 2025
https://github.com/geonextgis/pytorch-for-deep-learning-and-machine-learning
Last synced: 24 Jan 2025
https://github.com/geonextgis/advancing-crop-yield-forecasting
This repository hosts the code and resources developed as part of my MSc Dissertation, focusing on advancing crop yield forecasting techniques.
crop-yield-prediction deep-learning google-earth-engine machine-learning python remote-sensing
Last synced: 24 Jan 2025
https://github.com/geonextgis/mathematics-for-data-science
This repository comprehensively guides the fundamental mathematical concepts crucial for mastering data science.
Last synced: 24 Jan 2025
https://github.com/geonextgis/data-wrangling-with-xarray
This comprehensive and practical course empowers learners to efficiently manipulate and analyze multidimensional data using the powerful Xarray library in Python.
Last synced: 24 Jan 2025
https://github.com/geonextgis/image-analysis-in-remote-sensing-with-python
This GitHub repository provides a comprehensive collection of Python scripts, tools, and examples for image analysis in remote sensing applications. It aims to assist researchers, scientists, and developers in processing and extracting valuable information from remote sensing imagery.
Last synced: 24 Jan 2025
https://github.com/geonextgis/geonextgis
My personal website
data-science earthengine geoinformatics gis jupyter-notebook machine-learning python remote-sensing vscode
Last synced: 24 Jan 2025
https://github.com/geonextgis/geonextdemo
A Python package demo for geospatial
Last synced: 25 Dec 2024
https://github.com/geonextgis/geenext
A python package to extend the capabilities of Google Earth Engine in the field of Al and ML.
Last synced: 24 Nov 2024
https://github.com/geonextgis/latex-full-tutorial-for-beginners
Welcome to the LaTeX Full Tutorial for Beginners repository! 📄✨ This comprehensive guide is designed for newcomers to LaTeX, a powerful typesetting system commonly used for creating documents, articles, and academic papers. Whether you're a student, researcher, or enthusiast, this tutorial covers everything from the basics to advanced topics.
Last synced: 24 Jan 2025
https://github.com/geonextgis/end-to-end-machine-learning
Welcome to the "End-to-End Machine Learning" repository, your comprehensive guide to mastering the entire lifecycle of machine learning projects.
Last synced: 24 Jan 2025
https://github.com/geonextgis/predictive-modeling-of-groundwater-potential-zones-in-bankura-district
The primary goal of this research is to develop an accurate and reliable predictive model, using advanced machine learning techniques, to delineate Groundwater Potential Zones (GPZs) in the Bankura District of West Bengal, India, by utilizing the Central Ground Water Board (CGWB) Ground Water Level Depth data.
Last synced: 24 Jan 2025
https://github.com/geonextgis/data-science-bootcamp-with-python
This comprehensive course is designed to take you from a beginner level to a proficient level in data science with Python. The course covers the essentials of data science, including data exploration and visualization, data cleaning and wrangling, statistical analysis, and machine learning.
Last synced: 24 Jan 2025