Tarık Kaan Koç's repositories
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
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
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.
MonoChurnAnalyzer
Churn Analyzer: Analyze and understand user churn rate in your PostgreSQL database effortlessly.
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.
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.
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).
SCOUTIUM-Talenter.Hunting.Classification
Predicting which class (average, highlighted) player is according to the points given to the characteristics of the players.
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.
yazm457hw2
Java Homework
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.
hunspell-tr
Turkish dictionary for Hunspell
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.
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. 🎓💻📚👨💻