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a-simple-automation-like-interface

A simple automation-like interface has been created to remind the student's grades.

analysis-of-algorithms

In this repository, the solutions of the problems given in the Analysis of Algorithms course will be shown. Problems are solved with Python, Java and MATLAB.

anomaly-detection

In this project, I would like to present 4 different anomaly detection algorithms (Local Outlier Factor, Elliptic Envelope, One Class SVM, Isolation Forest) with an example.

async-await-requests-es7

ECMAScript 7 GET, POST, PUT, DELETE response has been created. It was established to form the basis for your project.

berlin-population-prediction

The purpose of this study is to predict the population of Berlin in 2035 with using linear regression, polynomial regression and long short-term memory (LSTM) methods.

bin-with-servo-motor-and-hc-sr04-ultasonic-sensor

The aim of this project is to develop a prototype that opens the trash can lid contactlessly using various tools.

book-recommendation-with-collaborative-filtering

In this project, with Pearson correlation, book recommendation algorithm builded to make recommendation between users by their ratings.

building-9x9-sudoku-generator-and-solver

In this project, an algorithm has been prepared that generates 9x9 sudoku numbers, then deletes the numbers in the sudoku grid at random, and finally tries to solve the deleted numbers.

building-simple-neural-network

In this lab, we builded a neural network with activation functions from scratch. After that, we code how it performs on prediction using forward propagation and backpropagation.

calculation-bouguer-gravity-anomalies-in-san-francisco

The aim of the project is to calculate and 3D plot the free-air anomalies, topography, bouguer correction and bouguer anomalies in San Francisco.

cat-dog-classification-with-vgg-16

In the project, within the scope of the Computer Vision course with the code 02010012 given by the Faculty of Computer Engineering, cat and dog classification was made with the VGG-16 architecture.

classificate-placement-status-with-pca-and-lda

The main purpose of the project is to make size-reduce to the independent variable in the dataset via LDA and PCA. Then, the dependent variable is to estimate the status with the logistic regression method.

classify-failure-maintenance-failure-types

The purpose of this study is based on the data, I want to classity and estimate maintenance failure types with XGBoost and Artificial neural networks.

classify-mammographic-mass

In this project, I would like to classify mammographic mass with artificial neural network and logistic regression classifiers.

classify-pencil-and-eraser-with-convolutional-neural-networks

The task at hand is to classify erasers and pencils using supervised machine learning methods (CNNs).

classify-rock-paper-scissors-with-convolutional-neural-networks

The purpose of the task is classify paper, rock and scissor from hand pictures using supervised machine learning methods (CNNs).

classify-trees-from-satellite-imagery

Satellite photographs taken by the Sentinel-2 were classified with pre-trained ResNet-50 and VGG16 models. In addition made CAM model.

classify-x-ray-images-with-convolutional-neural-networks

The task at hand is to classify diagnosis PNEUMONIA or NORMAL using supervised machine learning methods (CNN).

clus-hierarchical-credit-card

Hierarchical clustering analysis on Credit Card customers dataset.

clustering-earthquakes-in-turkey

The magnitude of the earthquakes in Turkey was clustered by DBSCAN. Datas taken from Kandilli Observatory and Earthquake Research Instıtute (KOERI) and AFAD Event Catalog.

clustering-significant-earthquakes-in-japan

Clustering eartquakes based on several parameters (based of their location, depth and magnitude) with DBSCAN.

concrete-classification-computer-vision-coe

In the project, within the scope of the Computer Vision course with the code 02010012 given by the Faculty of Computer Engineering, crack and no crack classification was made with the VGG-16 and ResNet-50 architecture.

concrete-crack-classification-with-cam

Through data, classification model was builded whether predicts if there is any crack or not on concrete with Class Activation Map.

corona-counter-selenium

cozy-cafe-website

A delightful website showcasing a fusion of modern desserts and exceptional coffees. Built with Django and powered by SQLite for efficient data management.

django-handle-errors-in-views

In this repository it is shown step by step how to do Django error handling in views.

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drone-detection-yolov7

Introducing a curated dataset for drone detection and a state-of-the-art YOLOv7 model, enabling real-time and accurate identification of drones in complex environments.

drone-detection-yolov8x

This repository provides a dataset and model for real-time drone detection using YOLOv8, contributing to enhanced security and privacy protection. Join us in advancing drone detection technology for safer environments.

dry-bean-linear-discriminant-and-principal-component-analysis

The purpose of this study is based on the available data, it was predicted after analyzes whether class is Seker, Barbunya, Bombay, Cali, Dermosan, Horoz or Sira.