https://at-ceu.studyguide.timeedit.net/modules/DNDS6005?type=COREThis course offers a comprehensive introduction to core concepts in machine learning and data mining. It covers both supervised and unsupervised learning, including foundational algorithms as well as a concise overview of modern neural networks and deep learning techniques. Emphasis is placed on practical skills such as model evaluation, performance tuning, and interpreting results in applied contexts. Students will gain hands-on experience through assignments and projects using Python tools such as Scikit-Learn, TensorFlow, Jupyter Notebooks, and Google Colab.