Creating an efficient and accurate computer vision model using deep learning algorithms to differentiate between healthy and parasite-infected red blood cells
Exploring an automotive data set using principal component analysis (PCA) and t-distributed stochastic neighborhood embedding (t-SNE) to gain valuable understanding