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Hi there šŸ‘‹ I'm the founder of EPYTHON LAB. I have several years of work expereince in various positions.

Check my portfolio => https://epythonlab.github.io/myportfolio/

  • šŸ”­ I'm always looking for a challenging job opportunities related to Sotware Engineering, Data science and Machine Learning.
  • šŸ‘Æ Iā€™m looking to collaborate on Kaggle Competition.
  • šŸ’¬ Ask me about python, data science, machine learning and relating questions.
  • šŸ“« You can reach me via the following links and learn more from me.


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EPYTHON LAB's Projects

13-school-progress icon 13-school-progress

This is an open source project for the stage E of the Hamoye Data Science Internship program, cohort 2020, with real life applications in the health, engineering, demography, education and technology.

blogapp icon blogapp

This is a simple CRUD application developed using Python, Botstrap and Flask as a framework. The full video tutorials are available on youtube. you can find the tutorial https://youtube.com/epythonlab/

gradecalc icon gradecalc

GradeCalc is a simple Grade 10th National Examination result calculator

k-means-project icon k-means-project

This project mainly focussed on k-means clustering algorithm. I have implemented efficient clustering algoring to find the most common and frequent restuarants and recommend the user the best place to open a new business.

myportfolio icon myportfolio

It is my portfolio build with react js and tailwind. you can learn from my portfolio template

omnicoder icon omnicoder

This is a demo of teaching students at omnicoders

pythonlab icon pythonlab

This is a Python tutorial from basics to advanced.

sage_web_dev icon sage_web_dev

Sage Training Institute Web Dev. There are many projects done in this repo for teaching purpose. Mainly focussed on react, nodejs, api, and mongodb

wqu-ds-unit-1 icon wqu-ds-unit-1

WorldQuant University's Data Science Unit-1 (Scientific Computing and Python for Data Science) lectures and my code solutions

wqu-ml-unit-2 icon wqu-ml-unit-2

This repository contains information about the lecture notes and exercises solutions of WorldQuant University Machine learning and statistics.

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