Labs & Assignments

Lab assignments are part of the Attendance & Participation component (10% of the final grade). Assignments are due by the end of the week following the lab session. A two-week grace period applies; each late week incurs a 25% penalty.

• Lab 2 — Python Basics & Minimal NumPy Week 2 · due End of Week 2

  Practice Python variables, lists, dicts, indexing & slicing, and minimal NumPy in a notebook; upload your .ipynb to the course Drive folder.

• Lab 0 — Environment Setup & First Orange Project Week 2 · due End of Week 2

  Set up your Python environment (VS Code or Google Colab), install Orange Data Mining, and build your first workflow to explore the HDI economic dataset.

• Lab 3 — Data Scrubbing in Orange Week 3 · due End of Week 3

  Load a messy e-commerce customer file in Orange, apply the four pillars of data scrubbing plus outlier handling, normalisation, and simple feature engineering, then export a model-ready dataset with a short business memo.

• Lab 4 — pandas & Journal-Style Figures with cnsplots Week 4 · due End of Week 4

  Build a notebook from scratch: turn PathMNIST histology images into a pandas feature table, explore tissue types, try a small tumor classifier, and compose a multi-panel Nature-style figure with cnsplots. Submit one PDF report (not the notebook).