Data Mining a.y. 2019-2020

Collection of python notebooks for the course of Data-Mining, MS in Computer Science @ DIMES-University of Calabria, CS, IT

(Potential) Road map

• Lecture 1 - Introduction, NumPy Basics
• Lecture 2 - Data Handling with Pandas - Part I
• Lecture 3 - Data Handling with Pandas - Part II. Data Visualization with matplotlib and seaborn
• Lecture 4 - Time Series Manipulation
• Lecture 5 - A gentle introduction to scikit-learn
• Lecture 6 - A classification problem
• Lecture 7 - Ensemble Learning and Clustering
• Lecture 8 - Project Example

Acknowledgements

A large part of the content is borrowed from the following books:

• Python for Data Analysis, 2nd Edition
• Hands-On Machine Learning with Scikit-Learn and TensorFlow