This project focuses on sentiment analysis using a Long Short-Term Memory (LSTM) network. The goal is to classify tweets as either positive or negative.

Türkçe Doğal Dil İşleme (NLP) alanındaki kaynakları bir araya getiren bu repoyla, profesyonel yolculuğunuzda sizlere rehberlik etmeyi hedefliyoruz.

A calculator and phonebook project developed in Motoko for the Patika.dev internship program.

CNN_Skin_Cancer

Classify Skin cancer from the skin lesion images using Image classification. The dataset for the project is obtained from the Kaggle SIIM-ISIC-Melanoma-Classification competition.

Skin cancer detection project

Performance comparison between multi-center histopathology datasets of a weakly-supervised deep learning model for pancreatic ductal adenocarcinoma detection - Cancer Imaging

This is the final project of the CSE6250. We mainly use the MIMIC-III data to predict the sepsis.

R shiny app on Huntington’s Disease Dataset 🧠

Implemented machine learning algorithm which takes in genome sequences as input to predict the probability of a patient having Huntington's Disease in future.

Deep Learning Based Image Classification and OCR for Twitter

Analyze topics and trends in news with NLP

Relation Extraction using Deep learning(CNN)

python-NLP-Simple Sentiment Analysis

Çeşitli Kanser Türleri Üzerinde Sınıflandırma Algoritmalarını Kullanarak Veri Madenciliği

It is a weka project that decides whether to monitor the next coming series by looking at the monitoring data of thirty Netflix sequences using smote, svm, pca algorithms.

İnsanların niteliklerine bakarak kredi skorlarının hesaplanması.

This repository was opened for the data mining course group project.

Derin Öğrenme İle Medikal Görüntü Segmentasyonu

Bilgisayar Mühendisliği Bitirme Proje Ödevi

topic modelling with Trendyol comments and extra ui

Ümit Mercan Bitirme Projesi

Sakarya Üniversitesi Bilgisayar Mühendisliği bölümü bitirme projesi.

C#, QML, PYTHON, SELENIUM, EMOTİV EPOC PLUS, PYQT5, UNITY VUFORİA 9 AR