This project aims to detect and classify fake news using Natural Language Processing (NLP) and Machine Learning techniques. The model is trained to identify whether a news article is real or fake based on its content.

SKit is a versatile Python library designed to streamline the deployment of Machine Learning (ML) models and facilitate various Data Science tasks.

python 0基础入门机器学习

Hand Segmentation and Finger Counting with Convex Hull

The code sets up a Flask web application for a chatbot using a pre-trained model. It loads intents from a JSON file, tokenizes patterns with CountVectorizer, and defines routes for user input, predicting tags, and retrieving bot responses. The application runs on localhost when the script is executed.

Anime recommendation systeme using ML

This project detects cardiovascular diseases using deep learning on digitized ECG images. Key features like P, QRS, and T waves are extracted from 1-D signals. Machine learning models predict conditions like Myocardial Infarction, enabling efficient diagnosis.

SignSense is a real-time American Sign Language (ASL) recognition system that uses computer vision and deep learning to translate hand gestures into text and speech, enabling seamless communication between the deaf and hearing communities.

Text to Category AI for Social Media Project

Technical Articles

A machine learning project to predict Airbnb listing prices in Berlin using data-driven all models. This project explores feature engineering, model selection, and evaluation techniques to build an accurate Airbnb price predictor.

Production-ready semi-automated data labeling system achieving 100% accuracy with 84% automation rate.

Email / SMS Spam Classifier

A Python mini-project for sentiment analysis on IMDb movie reviews using scikit-learn and TF-IDF. Includes CLI tool and optional Flask web interface.

Laptop Fiyat Tahmin Projesi: veri ön işleme, özellik mühendisliği ve model değerlendirmesi

Heart Disease Prediction using machine learning to analyze patient health indicators.

Trading Algorithm, first version. Should be updated

short watch here