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academicpages.github.io

Github Pages georasaq

applied-ml

📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.

carto_sdsc23

workshop on spatial data science with PySAL @ CARTO SDSC23

corejava-junit

CoreJava-Junit Examples

corejava-multithreading

CoreJava-MultiThreading Examples

cs-video-courses

List of Computer Science courses with video lectures.

data-analyst-roadmap

Data-Analyst-Roadmap for Professionals. This roadmap contains 8 Chapters that can be completed in 8 weeks, whether you are a fresher in the field or an experienced professional who wants to transition into Data Analysis.

data-engineer-tutorial-series

deafrica-sandbox-notebooks

Repository for Digital Earth Africa Sandbox, including: Jupyter notebooks, scripts, tools and workflows for geospatial analysis with Open Data Cube and xarray

dsn-50-days-of-learning-2023

free-ai-classes-2023

fringe

Fine Resolution InSAR With Generalized Eigenvectors (FRInGE)

gee_py_ml

This repository contains materials for the workshop on Google Earth Engine Python API for ML-based Classification

geebook

Geospatial Data Science with Earth Engine and Geemap

gemgis

Spatial data processing for geomodeling

geone

DeeSse interface, utilities and examples

georasa

My personal repository

georasaq

Config files for my GitHub profile.

georasaq.github.io

Dive into hydrogeology, data analysis & water management insights on my site. Discover articles, resources & real-world perspectives for a water-secure future. Join me in shaping solutions through collaboration & innovation. Connect for discussions & engaging content.

global_flood_mapper

This repository contains links to the Global Flood Mapper (GFM). Usage instructions are given here. For more details, please check the journal article titled "Global Flood Mapper: A novel Google Earth Engine application for rapid flood mapping using Sentinel-1 SAR."

god-level-data-science-ml-full-stack

A collection of scientific methods, processes, algorithms, and systems to build stories & models. This roadmap contains 16 Chapters, whether you are a fresher in the field or an experienced professional who wants to transition into Data Science & AI

gpt-migrate

Easily migrate your codebase from one framework or language to another.

groundwateropensource

homemade-machine-learning

🤖 Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained

interpolate_plot_z_property

Python script and notebook to load XYZ data from a csv file and make plots in 2d and 3d from irregulary spaced data

introduction-to-github

isce2

InSAR Scientific Computing Environment version 2

jdbc-with-mongodb

Jdbc-With-MongoDB Examples

machine-learning-multi_element-gold-predciton-

Multi element analysis Prediction of Gold using Random Forest Machine Learning Model

machine_learning_basics

Plain python implementations of basic machine learning algorithms