How carolinapercina62/data-mining-26-27 works
This repository is a master’s-level data-mining course resource collection. A student’s supported workflow is to consult course setup guidance and work through the available lab notebooks, with presentations and project guidelines providing additional course material. The tree also includes a preprocessed CSV and a SQLite database, but the sampled source does not establish which notebooks use them or how. The graph therefore shows access to course materials without inventing data-flow links.
Main entry points: README.md Course Overview · setup_instructions.md Setup Guidance · lab00_setup.ipynb Setup Lab · lab02_distances.ipynb Distance Lab
Components 9
Course Learning
- Course Overview
README.md - Setup Guidance
setup/setup_instructions.md - Setup Lab
notebooks/lab00_setup.ipynb - Distance Lab
notebooks/lab02_distances.ipynb
Course Materials
- Lab Presentations
presentations - Project Guidelines
project_info/DM2627_ProjectGuidelines.pdf
Data Assets
- Preprocessed Data
data/data_preprocessed.csv - Mining Database
data/datamining.db
Other components
- Student
Connections 6
- Student → Course Overview: consults
- Student → Setup Guidance: follows
- Student → Setup Lab: works through
- Student → Distance Lab: works through
- Student → Lab Presentations: reviews
- Student → Project Guidelines: consults