Logistic Regression, Random Forest, Neural Networks, Image Processing, Computer Vision.
making it unlikely that Principal Component Analysis (PCA) will yield favorable results. However, the report includes a detailed explanation of PCA for comparison purposes. PCA (Principal Component Analysis) creates an eigenspace using eigenvectors that capture the data’s variance. These