This project was completed as a final project for the course Machine Learning for Engineers at Rutgers University.
The following are the machine learning algorithms used in this project:
- Principal Component Analysis (PCA)
- K-means Clustering
- Support Vector Machines (SVM)
- Linear Discriminant Analysis (LDA)
- Quadratic Discriminant Analysis (QDA)
- Naive Bayes (Gaussian Distribution)
- OpenCV
- Jupyter Notebook