This GitHub course teaches essential Data Mining skills, including managing large datasets, interpreting relevant data, and applying flexible knowledge to gain expertise in statistic techniques, covering pre-processing, similarity metrics, basket analysis, association rules mining, recommender systems, and streaming data handling.

Build a Python streaming data processor that reads, transforms, and writes data line-by-line like a Unix CLI tool. Learn real-world patterns used in log processing, ETL pipelines, and scalable stream architectures.

🌟 Create dynamic agent-based simulations with Mini-Massive, a lightweight framework for crafting swarms, crowds, and more, inspired by Weta Digital’s Massive.