This project's aim is to gain deeper knowledge about support vector machine(SVM) and principal component analysis(PCA) and develop a practical implementation of these algorithms.
This project aims to develop a supervised classifier using svm and pca for dimensionality reduction
This project's aim is to gain deeper knowledge about support vector machine(SVM) and principal component analysis(PCA) and develop a practical implementation of these algorithms.
This project aims to develop a supervised classifier using svm and pca for dimensionality reduction