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3 followers · 18 following
  • Nyeri,Kenya
  • 07:01 (UTC +03:00)

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Simonkipkurui/README.md

Hi 👋, I'm Simon Kipkurui

GIS & Remote Sensing developer| Machine Learning for Earth Observation | Species Distribution Modelling Enthusiast

simonkipkurui

  • 🔭 I’m currently working on Machine learning for conservation

  • 🌱 I’m currently learning DuckDB,Rust

  • 👯 I’m looking to collaborate on Gis,Remote sensing, Machine learning

  • 📝 I regularly write articles on https://medium.com/@simonkarani491

  • 💬 Ask me about Geographic information system, Machine learning and remote sensing

  • 📫 How to reach me simonkipkurui759@gmail.com

  • ⚡ Fun fact 🛰️ Sometimes I look at satellite images like they’re pieces of art.

Connect with me:

simon_kbii https://www.linkedin.com/in/simonkipkurui/

Languages and Tools:

d3js dart django git opencv pandas postgresql postman python pytorch rust scikit_learn seaborn tensorflow

simonkipkurui

 simonkipkurui

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  1. Aloe-species-Ensembled-Modelling Aloe-species-Ensembled-Modelling Public

    Ensembled modelling of random forest, Gradient boost machine and Extreme Gradient boosting within Biomod2

    R

  2. Aloes-species-distribution-modelling- Aloes-species-distribution-modelling- Public

    Aloe species modelling using BIOMOD2 r package

  3. Lion-Habitat-modelling Lion-Habitat-modelling Public

    Modeling the most resource habitat for lion

    R

  4. market-distribution-optimizer--tsp market-distribution-optimizer--tsp Public

    Forked from BritonCodex/market-distribution-optimizer--tsp

    Optimal Market Distribution Route using Travel Salesman Problem (TSP).Helps to solve the TSP for distributing products across counties, in this case, five counties. The program is implemented using…

    Python

  5. Beetle-distribution-modelling Beetle-distribution-modelling Public

    Jupyter Notebook

  6. Ipomea-distribution-modelling Ipomea-distribution-modelling Public

    This project models the habitat suitability of Ipomoea species across Kenya's Arid and Semi-Arid Lands using open geospatial data, biodiversity observations, and machine learning. It supports conse…

    R