admin-dashboard

Admin Dashboard 1

ansible

Ansible is a radically simple IT automation platform that makes your applications and systems easier to deploy and maintain. Automate everything from code deployment to network configuration to cloud management, in a language that approaches plain English, using SSH, with no agents to install on remote systems. https://docs.ansible.com.

bbm204

chart-calculator

Calculator with barchart that shows the recent results

chat-bot-backend

chat-bot-frontend

color-palette

a Image Processing Web application that gives you the most dominant colors with using Unsupervised Machine Learning

contact-app-react

email-spam-naive-bayes

In this project, we wrote an algorithm that distinguishes spam and ham emails in a given dataset using the Naive Bayes algorithm. We used the variables unigram-bigram and stopword to analyze the words. In this way, we have seen the effects on the measurement more clearly. We made some determinations on some words in the data set. This gave us an idea of how well the concept works on data

ethical_hacker

find-in-image

a Python Flask app that finds visual patters in images

flask-to-do-app

Basic To-Do app that developed with Flask web framework

flask-user-authentication

Simple flask app that I'm testing user authentication system of flask

folder-tree

the app that gives you a file structure as json file

glass-wscikitlearn

a Machine Learning program that classifying glass types of different glass

gopy

Basic terminal Tic-Tac-Toe game with dynamic table

imageprocessingprojects

Image processing project that I made at BBM415 class

imagerecognisedeeplearning

Multi Layer Neural Network and Convolutional Neural Network Project

intern-projects

This is just intern projects repository

kodluyoruzilkrepo

Kodluyoruz Eğitimi kapsamında açtığım ilk repo

labris_flaskapp

leetcode-solutions

material-kit-react

Admin Dashboard 2

ml-in-fqrs

a ML project about fQRS

ml_desiciontree_puring

The program that predicting the diabet patient with ID3 algorithm

ml_knn_project

In the first part of this project, the KNN machine learning algorithm was used for the glass dataset. The accuracies of the model were calculated on 5-fold cross validation with different k parameters (1,3,5,7,9) of the model's different k-NN(with normalization and without normalization) and weighted k-NN (with normalization and without normalization) models.

mouse-active-cube

web art tries

patika-python-p1

Patika Temel Python Eğitimi bitirme projesi

patika-sql

patika.dev'in SQL derslerinde verilen Ödevler

patika_ds_al

Veri Yapıları ve Algoritmalar > Insertion Sort Projesi