This course provides a comprehensive introduction to data mining with a focus on classification techniques and their practical applications. Participants will explore the fundamental principles of classification, from data preprocessing to model evaluation, and gain hands-on experience with popular algorithms such as Decision Trees and k-Nearest Neighbors (k-NN).

Through tutorial with google colab, students will learn how to apply classification methods to real-world problems and by the end of the course, participants will be equipped with the skills to develop, validate, and deploy classification models.