Overview
Developed as part of the UTS Machine Learning subject (31005), this project involved training and evaluating classification models on image data using Python-based ML tools.
What It Does
- Loads and preprocesses image datasets
- Trains object classification models
- Evaluates model accuracy and performance metrics
- Presented in a Jupyter Notebook with inline results and visualisations
Tech Stack
- Language: Python
- Environment: Jupyter Notebook
- Libraries: scikit-learn, NumPy, Matplotlib
Skills Demonstrated
Data preprocessing, model training and evaluation, and communicating results clearly through a structured notebook.