Pinned Repositories
-Comparative-Analysis-of-Artificial-Neural-Network-Optimization-Algorithms-on-CIFAR-10-with_PyTorch
This GitHub project is designed to evaluate the experimental performance of various artificial neural network optimization algorithms using a multi-layer perceptron (MLP) classifier on the CIFAR-10 dataset.
BLM19305E
Merve Çınar 1821221025
BookManagment
it work like a library automation system
Call-Center_WebAPI_React
Call-CenterWebApp_MVC
Web Application with using ASP.net MVC and SqlServer
Chess.Lib
PathPlaning-Optimization-_GWO_ACO_SCSO_WOA
This repository presents a comprehensive comparison of four optimization algorithms applied to the path planning problem: Grey Wolf Optimization (GWO), Ant Colony Optimization (ACO), Sand Cat Swarm Optimization (SCSO), and Whale Optimization Algorithm (WOA)
PreProcesDecisionTreeLogicRegression
This code include steps of Data Mining Algorithms for Kaggle Dataset
ProductsFinderApp
This is help the find products using opencv.İt's works like a shopping Systems.
Unet-Semantic-Segmentation-with-PyTorch-on-Cityscapes-Dataset
This GitHub repository showcases my work on semantic segmentation using a Unet model with an encoder-decoder architecture, specifically tailored for the Cityscapes dataset. Semantic segmentation involves classifying each pixel in an image, and the Unet model is known for its effectiveness in this task.
mervecinar's Repositories
mervecinar/Call-CenterWebApp_MVC
Web Application with using ASP.net MVC and SqlServer
mervecinar/PathPlaning-Optimization-_GWO_ACO_SCSO_WOA
This repository presents a comprehensive comparison of four optimization algorithms applied to the path planning problem: Grey Wolf Optimization (GWO), Ant Colony Optimization (ACO), Sand Cat Swarm Optimization (SCSO), and Whale Optimization Algorithm (WOA)
mervecinar/-Comparative-Analysis-of-Artificial-Neural-Network-Optimization-Algorithms-on-CIFAR-10-with_PyTorch
This GitHub project is designed to evaluate the experimental performance of various artificial neural network optimization algorithms using a multi-layer perceptron (MLP) classifier on the CIFAR-10 dataset.
mervecinar/BLM19305E
Merve Çınar 1821221025
mervecinar/BookManagment
it work like a library automation system
mervecinar/Call-Center_WebAPI_React
mervecinar/Chess.Lib
mervecinar/PreProcesDecisionTreeLogicRegression
This code include steps of Data Mining Algorithms for Kaggle Dataset
mervecinar/ProductsFinderApp
This is help the find products using opencv.İt's works like a shopping Systems.
mervecinar/Unet-Semantic-Segmentation-with-PyTorch-on-Cityscapes-Dataset
This GitHub repository showcases my work on semantic segmentation using a Unet model with an encoder-decoder architecture, specifically tailored for the Cityscapes dataset. Semantic segmentation involves classifying each pixel in an image, and the Unet model is known for its effectiveness in this task.
mervecinar/ChessServerClient
mervecinar/Health-Insurance-Premium-Prediction-Using-Machine-Learning
This project predicts health insurance premiums using machine learning. Accurate premium calculation is crucial for insurers and policyholders. Using data like age, sex, BMI, children, smoking status, and region, we apply Linear Regression, Decision Trees, and Random Forest models to forecast charges and analyze key factors.
mervecinar/Iris-Species
This is a app which calculate mean median variance boxplot histogram confide interval and other many thing I select Iris Species dataset and then speallength column I use swing jfreechart and database
mervecinar/lal.cpp
mervecinar/Messenger_SocketProgram
mervecinar/NLP_Artificial_Intelligence_Recipe-Recommendation-System
This project is a Flask web application that suggests recipes based on the user's emotional state. The application analyzes text input to determine the user's mood and provides recipes tailored to that mood.
mervecinar/OWNSHELL
1821221025_MerveCinar
mervecinar/PhilosopherDining