The University of Melbourne

Table of Contents

1. Machine Learning
2. -- Project Background ML
3. -- Reference List ML
4. Element Data Processing
5. -- Project Background EDOP
6. -- Reference List EDOP

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Machine Learning

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The project Final Result ML

The overall marks is over 90%

Project 1 (Totally over 87% )

Project 2 (Rank within 150 in total 500+ students)

Project Background ML

The first assignment get overall 87% performance, but I got feedback relating to the overfitting issue, which means I have to modify parts of my code.

The second assignment gives me confidence about my model training because my totally performance had over 70% F-Score, which means I successfully present good recall and accuracy, also my coding mark is full mark(but been deducted due to some technical issue, and got late submission warning)

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Reference List ML

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Element Data Processing

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The project Final Result EDOP

The overall marks is over 90%

Project 1

Project 2

Project Background EDOP

The first assignment got full mark, both coding and report were highlighted by head tutor to other students, and I have improved my pandas skills and learnt some machine learning in advance to get good mark on the next assignment and future course - Machine Leaning

The second assignment got full mark for my coding part in all tasks, but lost some marks because my feature engineering approaches.

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Reference List EDOP