Data Mining Lecture and Assignment
Hi! Welcome!
This repository covers Data Mining and Machine Learning applications to medicine, healthcare, and clinical informatics - covering topics on Supervised, Unsupervised, and Semi-Supervised Learning, and Reinforcement Learning.
- Preprocessing
- Naive Bayes
- Decision Trees
- Logistic Regression
- K-Nearest Neighbors
- Support Vector Machines
- Genetic Algorithm
- APriori Algorithm
- KMeans
- Semi-Supervised Learning
- Reinforcement Learning
- Model Deployment
- Machine Learning in Health Care
- Model Interpretability - Gradient Class Activation Mapping
Files submitted as assignment in RADI608 Data Mining and Machine Learning. This folder includes the Jupyter Notebooks and Python files in solving the assignment.