An end to end Machine Learning project that predicts real estate prices in Izmir. Built from scratch using Python, Selenium for scraping, K-Means for location clustering, and Streamlit for the web interface.

Machine Learning project of BTech Minor Degree in Software Engineering

Machine Learning implementation for personalized prediction of longitudinal COVID-19 vaccine responses in immunocompromised individuals

This project applies machine learning techniques to classify Iris flower species based on sepal and petal measurements. It explores multiple classification algorithms, including Random Forest, SVM, Naive Bayes, KNN, and XGBoost. The project incorporates data preprocessing, hyperparameter tuning, cross-validation to optimize the models' performance.