khizerzakirai4eo (khizerzakir)

khizerzakir

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Location:Vannes

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khizerzakirai4eo's repositories

FinalProject_Ctrl-F

Ctrl+F (Fire) 🌍🔥🌧️🌡️ Explore and visualize climate data to monitor wildfire risks with ease! Ctrl+F (Fire) is your go-to tool for tracking atmospheric variables such as temperature and precipitation at any location. This repo presents tools that integrate data from the Copernicus CDS to empower users in their climate-related decision-making.

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BreizhCrops

A Satellite Time Series Dataset for Crop Type Identification

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CDE-Master-2022-2023

This repository contains all the learning materials and projects completed for the EMCDE Masters program

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eodal

Earth Observation Data Analysis Library

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ERASMUS-CDE

This repo demonstrate all the academic projects completed as the CDE Masters Student

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free-programming-books

:books: Freely available programming books

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greenR

greenR is an R package that enables the quantification, analysis, and visualization of urban greenness within city networks. It leverages data from OpenStreetMap (www.openstreetmap.org) and is implemented as both an R package and a Shiny web application for user-friendly interaction.

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Intro-to-Machine-Learning

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.

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KelpSemanticSegmentation

Deep Learning models for segmenting Kelp Forests

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khizerzakir

Config files for my GitHub profile.

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Wine-Quality-Prediction-Using-ML

All the tasks completed throughout the Data Science & Machine Learning course are presented here.

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khizerzakir.github.io

Welcome to my personal portfolio! This repository showcases my work, skills, and achievements as a GeoDataScientist. Below you'll find a brief overview of what you can expect to find in this portfolio.

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OGH_Summer_School

Share the learning and experience from OGH Summer School 2023 in Poznan, Poland

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semantique

Semantic Querying in Earth Observation Data Cubes

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Spatial-Analysis

learning spatial data analysis using python

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StreamSamples_ML

Project for the Machine Learning Lecture in 2nd year of CDE Master.

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