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Hi there. I'm Bora 😎 💻

bora I was born on October 4, 1998 in Ankara. After completing my primary and high school education here, I was entitled to enter the Department of Biomedical Engineering at Düzce University in 2016 and still continue my education life. I will complete my undergraduate period in June 2020. I am particularly interested in machine learning, deep learning, artificial intelligence, digital signal processing and image processing.

BoraKis

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Language and Tools:

illustrator photoshop matlab opencv python pytorch scikit_learn tensorflow

Connect with me:

borakis.github.io izzetborakis | LinkedIn izzetborakis | Twitter https://www.instagram.com/izzetborakis/ | Instagram

Bora KIŞ's Projects

-choosing-the-right-sampling-frequency icon -choosing-the-right-sampling-frequency

According to the Nyquist Criterion, in order to accurately generate the f (t) signal, it is necessary to make a sampling of at least twice the highest frequency component of f (t). One of the approaches used to accomplish this is the sampling of the signal by selecting the sampling frequency 5 times larger than the highest frequency component.

biopython icon biopython

Official git repository for Biopython (originally converted from CVS)

borakis.github.io icon borakis.github.io

My academic personel website forked from reference academicpages.github.io https://borakis.github.io

gitsocial icon gitsocial

Add social media icons to your GitHub README files.

hand-gesture-recognition icon hand-gesture-recognition

In this application, the interpretation of these movements through mathematical algorithms is studied by using a camera that detects the hand movements of the user.

paul-graham-turkce icon paul-graham-turkce

Bu repo paulgraham.com adresindeki denemelerin Turkceye cevrilmis hallerinin yayinladigi gonulluluk ile buyuyen bir kaynaktir.

split-folders icon split-folders

🗂 Split folders with files (i.e. images) into training, validation and test (dataset) folders

torchio icon torchio

Tools for medical image processing in deep learning.

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