RMIT University

IT Bachelor

Developing Machine Learning models to classify diabetes status 06/2023 - 06/2023
DIABETES STATUS PREDICTION
Link Repo: https://github.com/bkdnltc2002/bkdnltc2002
• Using 5 models Logistic Regression, Gradient Boosting, Decision Tree, Random Forest, and LightGBM
• Metrics evaluation(LightGBM): precision(59), recall(70)
Technical:
• Python, Matplotlib, Numpy, Pandas
Developing image recommendation system and flowers images classification 04/2023 - 05/2023
FLOWER CLASSIFCATION, RECOMMENDATION SYSTEM
Link Repo: https://github.com/bkdnltc2002/bkdnltc2002
• Using Deep Learning models (ResNet50V2, VGG-19, CNN) for classification and (Siamese network, VGG16) for
recommendation systems.
• Metrics evaluation for classification (ResNet50V2): accuracy(86.44), precision(77.94)
• Metrics evaluation for recommendation system (VGG-16): accuracy(84),
Technical:
• TensorFlow, Keras, Python, Streamlit, Matplotlib, Numpy, Pandas
Developing Machine Learning models to classify cell types from images and classify if the image
was cancerous or non-cancerous

12/2022 - 01/2023

COLON CANCER IMAGES PREDICTION
Link Repo: https://github.com/bkdnltc2002/bkdnltc2002
• Using Ensemble Learning methods (XGBoost, LightGBM) and Deep Learning model (RCC Net) for both classification tasks
• Metrics evaluation (LightGBM): accuracy(91,4)
Technical:
• TensorFlow, Keras, Python, Matplotlib, Numpy, Pandas