Machine Learning

These are the works produced for SIT720 Machine Learning unit. I have developed practical skills in applying core machine learning techniques to solve real-world problems and uncover hidden insights in data.

• Supervised Learning: Proficient in building and applying linear and non-linear classification models to predict outcomes.
• Unsupervised Learning: Experienced in using clustering and factor analysis to identify hidden patterns and structures in datasets.
• Model Validation: Skilled in analyzing data representation and selecting the appropriate model complexity to ensure accurate and reliable results.
• Practical Application: Applied these techniques to solve real-world scenarios, demonstrating an ability to translate complex data into actionable insights.