I am passionate about Machine Learning and Data Science, with a strong interest in developing practical, hands-on learning experiences. I work with Python, Pandas, NumPy, Scikit-learn, and popular Machine Learning algorithms including Linear Regression, Logistic Regression, Decision Trees, Random Forest, KNN, SVM, and clustering techniques. I enjoy creating Machine Learning tests and assessments that evaluate both fundamental concepts and practical problem-solving skills. My goal is to help learners strengthen their Machine Learning knowledge through clear, application-oriented questions and real-world examples.