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Hello everyone! I'm Dogan Yigit.👋

I'm an enthusiast of data science, visualization, machine/deep learning, computer vision and lastly, backend programming. Though it's a long journey to master everything thoroughly, I'm still eager to read, code and learn new things every day.

What have I done so far in recent years:

  • Programs: Nearest neighbor simulations for proximity queries on two-dimensional surface (not limited to this one, many more to come)
  • Data Science: Taken several online sources, obtained certificates for exploration data analysis, data manipulation, data wrangling, data cleaning, data visualization and still proceeding to add things to my toolbox. In the meantime, making analyses based on real-life data to consolidate them further.
  • Image Processing: Image manipulations, object tracking, human pose estimation, gesture recognition
  • Web Programming: Understanding how frontend/backend sides are working together in a modern web application. Currently focusing on backend side more, doing Natural Language Processing (NLP) in the most efficient way, also machine learning model for value predictions. Furthermore, retrieving data accurately from database system with somewhat complex queries.

Besides, with my programming experience for over a decade, I'm planning to present more projects here with passion!

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Yigit's GitHub stats

Languages

Python Java C C++ C# SQL JavaScript R Ruby Golang

IDEs

Visual Studio Code Netbeans Eclipse Intellij Idea Python Idle Spyder RStudio Notepad++ Jupyter Notebook

Libraries & Frameworks

Numpy Pandas Matplotlib Seaborn Scikit Learn Tensorflow Keras OpenCV Spring Boot Lombok Log4j

Dogan Yigit Yenigun's Projects

hello-github icon hello-github

That's my first repository to understand how github works and playground for testing everything before moving on...

secim-2023-sonuclar icon secim-2023-sonuclar

Türkiye 2023 Yılı Seçimleri: Milletvekili Genel ve Cumhurbaşkanı Seçimlerinin Sonuçları

tfidf-python icon tfidf-python

A simple TF-IDF python class; original work was from http://code.google.com/p/tfidf/

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