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Hi there, I'm Yonas šŸ‘‹

I'm a Student Software Engineer šŸ’». I love designing and implementing websites. I also enjoy creating desktop programs and tools that perform specific and powerful tasks. I aspire to become a Machine Learning Engineer.

šŸ“¬ Connect with me:

yonas_engdu yonasengdu yonasengdu engduyonas1994 jonass jonass1

šŸ”­ Iā€™m currently working on:

  • My personal project

šŸŒ± Iā€™m currently learning:

  • Advanced Data Structures and Algorithms ā­
  • Advanced C++
  • Kubernetes
  • RabbitMQ

šŸ’¼ Technologies I work with on the daily:

python csharp dotnet mongodb express nodejs typescripts postman postresql git bash linux

šŸ’¼ Technologies I am very familiar with:

angular javascript react html5 css3 sass dash jupyter nestjs tailwindcss bootstrap-5 c programming language java php mysql typeorm heroku flutter

django

āœļø Github Stats:

committers.top badge

yonasengdu

Ā ffekirnew

āš” Iā€™m looking to collaborate on:

  • flutter
  • Nodejs

šŸ˜† Leaving Note:

Beware of the Loki, Thanos, and Ultron in Programming : Unhandled Exceptions , Premature Optimization and Poor Test Coverage

yonasengdu's Projects

ai_project_3-classifiers icon ai_project_3-classifiers

This repository contains Python implementations of Naive Bayes and Logistic Regression classifiers for three different datasets: MNIST Digit Dataset, BBC Text Classification, and Demo Weather Dataset. The implementations include hyperparameter tuning and feature extraction techniques.

local_search icon local_search

Knapsack and TSP Local Search This repository contains the implementation of three local search algorithms for the Knapsack and Traveling Salesperson problems. The implemented algorithms are the Genetic Algorithm, Hill Climbing, and Simulated Annealing. Knapsack Problem The Knapsack problem is a combinatorial optimization problem where given a set

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