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Austin-rgb/README.md

Hi there, I'm Austine πŸ‘‹

About Me

I am a computer scientist passionate about software development. I have extensive experience in both backend and frontend web development, as well as in machine learning. Below are some of the technologies I work with:

Web Development

  • Python: Flask, Django
  • Java: Springboot

Mobile Applications

  • Java: Android

Machine Learning

  • Libraries: scikit-learn, TensorFlow

Projects

Here are some highlights of my work:

Web Development

  • easybuy: Django web application for an online shop
  • peitrak: django web application for tracking payments in eCommerce
  • rapid web: python package for generating html bootstrap templates
  • remoter: spring boot web front-end for healthd

Mobile Application Development

  • ngomaapp: Android application for kcse revision

Machine Learning

  • Diabetes prediction: A machine learning project utilizing scikit-learn to predict Diabetes.
  • kmeans vs agglomerative: Comparing kmeans clustering with agglomerative clustering
  • rps: playing rock-paper-scissor game using recurrent neural network
  • deep learning: A bunch of deep learning practice codes
  • algo-fores: Forex automation using machine learning

Useful backend packages

  • userpool: User management platform for multiple consumers
  • dataport: Light weight inter communication using sockets. Best for distributed applications
  • timebucks workplace: selenium application for automating tasks in timebucks.com

Get In Touch

Feel free to reach out if you want to collaborate on a project or just want to chat about tech!


Austin-rgb's GitHub stats

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  1. kmeans-vs-agglomerative kmeans-vs-agglomerative Public

    Comparing k-means clustering with Agglomerative clustering on online shoppers intention dataset

    2

  2. deep-learning deep-learning Public

    A bunch of deep learning practice codes

    Jupyter Notebook 1

  3. easybuy easybuy Public

    Django application for an online shop

    Python 1