/RADI608

Data Mining Lecture and Assignment

Primary LanguageJupyter Notebook

RADI608

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.

Python Lectures

  1. Preprocessing
  2. Naive Bayes
  3. Decision Trees
  4. Logistic Regression
  5. K-Nearest Neighbors
  6. Support Vector Machines
  7. Genetic Algorithm
  8. APriori Algorithm
  9. KMeans
  10. Semi-Supervised Learning
  11. Reinforcement Learning
  12. Model Deployment
  13. Machine Learning in Health Care
  14. Model Interpretability - Gradient Class Activation Mapping

Submitted

Files submitted as assignment in RADI608 Data Mining and Machine Learning. This folder includes the Jupyter Notebooks and Python files in solving the assignment.