Section: Day 3: Introduction to Data Mining | Data Scraping and Data Mining with Python

Section outline

Introduction to Data Mining (1 Hour)

Overview of concepts, tasks, and applications.

Clustering and Classification (3 Hours)

Techniques like K-means and decision trees.

Implementation using Scikit-learn.

Association Rules and Pattern Mining (2 Hours)

Market basket analysis and Apriori algorithm.

Project and Case Study (2 Hours)

End-to-end data scraping and mining workflow.

Presenting findings and insights from practical projects.

Kuala Lumpur

Taman Zeta@Zetapark, C-11-01

Komplek Danau Kota, 67, Jln

Taman Ibu Kota, Setapak,

53300 Kuala Lumpur

Penang

Timmins Training Center

1-3-6 Jalan Mayang Pasir 3, Elit Avenue

Bayan Lepas

11950, Pulau Pinang