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Hello :wave:, I am a Geospatial Data Scientist utilizing the evolving technologies of Earth Observation, Artificial Intelligence and Big data to drive sustainable environmental development. I am currently working :man_office_worker: , along with other talented and inspiring people, at EURAC Research at the interface of Remote Sensing, Image Processing and Analysis, Data Science and Big Data Analysis. You can reach me on Twitter or LinkedIn

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Rufai Omowunmi Balogun's Projects

data-science-with-r icon data-science-with-r

A repository containing test codes and ideas based on the Data Science Specialization by Johns Hopkins University.

ds4gi_spring_school icon ds4gi_spring_school

Assessing the Performance of a Location Extraction Task with SPacy and FS_Score. NLP Tasks for Geoinformatics as part of the tasks for the Spring School: Methods in Geoinformatics

geet icon geet

Google Earth Engine Toolbox - Library to write small EE apps or big/complex apps with a lot less code.

geoapp icon geoapp

Using JavaScript OpenLayers API to develop a Web App for Disaster Risks Visualization

go icon go

The Open Source Data Science Masters

hello-world icon hello-world

An Introduction to Creating your first Github repository

hng_internship icon hng_internship

A repo on completed tasks from the HNG Internship -- FrontEnd Development

inria_machine_learning icon inria_machine_learning

An introduction to the core concepts of predictive modelling using the scikit-learn Python Library.

ndvi_climate_analysis icon ndvi_climate_analysis

An analysis of the relationship between NDVI and climatic paramters in Nigeria using the Multiple Linear Regression and LOESS Smoothing for identifying turning points in the time series data. Plus, a test for monotonic trends using the Mann Kendall Trend Test and the Sen's slope to ascertain the magnitude of the trends in each of NDVI, rainfall and temperature data in Nigeria between 1980 and 2019

plus_machine-learning-eot icon plus_machine-learning-eot

A repo of the analysis carried out for the final project on the PLUS Course on the Introduction to Data Science and Machine Learning for Geospatial Data taught by Euro Beinat. This analysis used the HURDAT2 Database, containing tropical storm paths from 1851 till date.

rufaibalogun icon rufaibalogun

Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes

starter-hugo-academic icon starter-hugo-academic

🎓 Hugo Academic Theme 创建一个学术网站. Easily create a beautiful academic résumé or educational website using Hugo, GitHub, and Netlify.

tensorflow_development_ icon tensorflow_development_

A repository of analysis and ideas used for tensorflow development guided by the Tensoflow.AI course

ubs icon ubs

A repository of course work and projects at the University of South Brittany, France as part of the Copernicus Master in Digital Earth

webcarto icon webcarto

A web map on the leisure parks within and around the city of Salzburg, Austria. ruphai.github.io/webcart

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