Pinned Repositories
simulai
A toolkit with data-driven pipelines for physics-informed machine learning.
mintlemon-turkish-nlp
Mintlemon, Türkçe Doğal Dil İşleme Kütüphanesi, Teknofest Türkçe Doğal Dil İşleme Yarışması kapsamında geliştirildi. Nane&Limon Takımı adı altında katıldığımız 2023 Türkçe NLP Yarışması'nı 1. olarak tamamladık.
TurkishNLPGuide
Türkçe Doğal Dil İşleme (NLP) alanındaki kaynakları bir araya getiren bu repoyla, profesyonel yolculuğunuzda sizlere rehberlik etmeyi hedefliyoruz.
HRMS-Backend
Human Resource Management System - Backend
HRMS.Postgre.SQL
PostgreSQL database for Human Resource Management System
IBM-Bogazici-Python-Bootcamp
IMDB-Sentiment-Analysis-NLP
IMDB dataset having 50K movie reviews for natural language processing or Text analytics. This is a dataset for binary sentiment classification containing substantially more data than previous benchmark datasets. We provide a set of 25,000 highly polar movie reviews for training and 25,000 for testing. So, predict the number of positive and negative reviews using either classification or deep learning algorithms
Java-React-Bootcamp
Education from zero to advanced
MalatyaDevFest-2023
prompt-engineering
Few-Shot Prompting - Chain-of-Thought (CoT) Prompting - Hallucinations - Self-Consistency - Generated Knowledge Prompting - Tree of Thoughts (ToT) - Summarization - Sentiment Analysis - Entity and Keyword Detection - Inferring Specifications - Intent Detection - Constitutional Prompting - Jailbreaking - Promp
TarikKaanKoc's Repositories
TarikKaanKoc/prompt-engineering
Few-Shot Prompting - Chain-of-Thought (CoT) Prompting - Hallucinations - Self-Consistency - Generated Knowledge Prompting - Tree of Thoughts (ToT) - Summarization - Sentiment Analysis - Entity and Keyword Detection - Inferring Specifications - Intent Detection - Constitutional Prompting - Jailbreaking - Promp
TarikKaanKoc/IBM-Bogazici-Python-Bootcamp
TarikKaanKoc/IMDB-Sentiment-Analysis-NLP
IMDB dataset having 50K movie reviews for natural language processing or Text analytics. This is a dataset for binary sentiment classification containing substantially more data than previous benchmark datasets. We provide a set of 25,000 highly polar movie reviews for training and 25,000 for testing. So, predict the number of positive and negative reviews using either classification or deep learning algorithms
TarikKaanKoc/Rating.Product-and-Sorting.Reviews-in-Amazon
The prominence of misleading comments will cause both financial loss and loss of customers. In the solution of these 2 basic problems, while the e-commerce site and the sellers will increase their sales, the customers will complete the purchasing journey without any problems.
TarikKaanKoc/MonoChurnAnalyzer
Churn Analyzer: Analyze and understand user churn rate in your PostgreSQL database effortlessly.
TarikKaanKoc/Movie-Recommender
TarikKaanKoc/AB-Testing
Company X has recently introduced a new type of bidding, average bidding, as an alternative to the current type of bidding called maximum bidding. One of our clients, bombabomba.com, decided to test this new feature and wants to do an A/B test to see if average bidding converts more than maximum bidding.
TarikKaanKoc/FLO-CLTV-Prediction
FLO would like to set a roadmap for sales and marketing activities. In order for the company to make a medium-long-term plan, it is necessary to estimate the potential value that existing customers will provide to the company in the future.
TarikKaanKoc/Amazon-Review-Sentiment-Analysis
That's why amazon company wants to rank reviews, and when ordering these reviews, they want to rank them according to their sentiment (positive / negative).
TarikKaanKoc/Armut-ARL_Recommender_System
TarikKaanKoc/Diagnosis_of_Diabetes
TarikKaanKoc/SCOUTIUM-Talenter.Hunting.Classification
Predicting which class (average, highlighted) player is according to the points given to the characteristics of the players.
TarikKaanKoc/MalatyaDevFest-2023
TarikKaanKoc/molformer
this is for fun, ain't it grand!
TarikKaanKoc/SurveyAnalysisApp
TarikKaanKoc/Telco-Customer.Churn-Prediction
It is desired to develop a machine learning model that can predict customers who will leave the company. You are expected to perform the necessary data analysis and feature engineering steps before developing the model.
TarikKaanKoc/yazm457hw2
Java Homework
TarikKaanKoc/Basic-User-Reg-System
TarikKaanKoc/customized-voice-text-bot-for-whatsapp-telegram
Customized Voice and Text Chatbot fully integrated to database (Cloudant an COS) using Watson Services deployed to IBM Cloud using Code Engine.
TarikKaanKoc/evaluate
🤗 Evaluate: A library for easily evaluating machine learning models and datasets.
TarikKaanKoc/gpt_index
LlamaIndex (GPT Index) is a project that provides a central interface to connect your LLM's with external data.
TarikKaanKoc/LSTM-Price-Prediction-using-Streamlit-FastAPI
TarikKaanKoc/mindflow
AI-powered git wrapper and code search engine to streamline your dev workflow 🚀
TarikKaanKoc/Parallel-programming
This project is a homework assignment given by Hamit Mızrak for the Parallel Programming lesson at Malatya Turgut Özal University. It involves using multi-threading to sequentially collect user data and write it to specified text files. 🎓💻📚👨💻
TarikKaanKoc/Promptify
Prompt Engineering | Use GPT or other prompt based models to get structured output. Join our discord for Prompt-Engineering, LLMs and other latest research
TarikKaanKoc/sesimiduy
TarikKaanKoc/sesiniduydum
TarikKaanKoc/Embedding-Based-Classification
TarikKaanKoc/hunspell-tr
Turkish dictionary for Hunspell
TarikKaanKoc/KerasFuse
KerasFuse is a Python library that combines the power of TensorFlow and Keras with various computer vision techniques for medical image analysis tasks. It provides a collection of modules and functions to facilitate the development of deep learning models in TensorFlow Keras for tasks such as image segmentation, classification, and more.