Name: Büşra Gökmen
Type: User
Company: VakıfBank - R&D Department
Bio: Machine Learning Scientist, Data Scientist, Projects on AI, Machine Learning, Data Mining, Deep Learning, NLP, Computer Vision
Location: Turkey-Istanbul
Blog: https://www.linkedin.com/in/busragokmen/
Büşra Gökmen's Projects
We require a system to generate words and sentences in Turkish based on certain calculations and rules. Assume that ascending order Turkish alphabet is assigned numerical values starting from 1. (e.g. letter_values = {'a':1, 'b':2, 'c':3, 'ç':4, 'd':5, 'e':6, ...} ).
This repository has been created for air pollution forecast in the coming hours in Beijing.
Everyone is equal, but some are more equal. This is an object-oriented Java project.
Web interface for browsing, search and filtering recent arxiv submissions
There are methods to augment images and increase number of image datas in this notebook.
A topic-centric list of HQ open datasets.
Terminal simulation that have basic command and method of GNU Linux Terminal.
Sentiment Analysis with BERT in Turkish Tweets
how to create caches and how they works
This is a parking simulation.
Color the pics with deep learning based model
Connect 4 programmed in python using pygame
Connect Four is a deterministic board game. We create a strategic AI model for this game. We used minimax algorithm and heuristic function to improve our strategy.
GitHub repository for inzva AI Projects #4 project - Conversational Information Seeking
dataset: https://www.kaggle.com/allen-institute-for-ai/CORD-19-research-challenge
Aspires to help the influx of bioRxiv / medRxiv papers on COVID-19
This is a deep learning based library for handling Turkish clitics such as da, de, ki and mi.
YouTube Django Dersleri için proje kaynak kodu
Visuals and explore NLP language models. Ecco creates interactive visualizations directly in Jupyter notebooks explaining the behavior of Transformer-based language models (like GPT2).
Which sorting algorithm grows faster with the time complex data size or the space complex grows faster. In this project, we compared the time and space complexities of counting_sort, heap_sort, quick_sort, insertion_sort and merge_sort algorithms.
How can we encrypt the given text and then decrypt it.
Fraud Detection with Paysim Data
In this project, it is aimed to find the frequency of positive, neutral and negative meaning according to the usage rates of the suffixes brought to the end of Turkish words. Thus, we will be able to rate the negative, positive and neutral meanings of the Turkish suffixes. This can contribute to NLP(Naturel Language Processing) studies for Turkish Language.
In this study, it is aimed to determine gender based on the frequency of word groups in users' posts and profiles.
this is an intermediate level game written in object-oriented