Python notebooks for the "Data Mining" course, Master Degree ("Laurea Magistrale") in Computer Engineering @ DIMES Dept, University of Calabria, CS, IT
- Lecture 1 - Data Handling (Pandas) and Visualization (Matplotlib & Seaborn)
- Lecture 2 - Introduction to scikit-learn
- Lecture 3 - Classification
- Lecture 4 - Anomaly Detection
- Lecture 5 - Ensemble Learning
- Lecture 6 - Association Rules
- Lecture 7 - Clustering
- Lecture 8 - Diagnostic and Debugging
Most of the material was kindly assembled by the previous course tutor. A large part of the content is borrowed from the following books: