Training project
Classical ML baseline notebook
Related course: AI Foundation
Problem
Before deep learning, learners must show data prep, classical algorithms, and honest metrics on a defined dataset.
Architecture (high level)
Python data pipeline (Pandas/NumPy) → train/validation split → scikit-learn models → evaluation plots in Jupyter/Colab; documentation of assumptions for interview storytelling.
Technologies
- Python
- scikit-learn
- Pandas
- NumPy
- Jupyter
This is a Vector Skill Academy training project completed during the course. It is not confidential client work and does not represent a live production engagement.