Logistic Regression, Random Forest, Neural Networks, Image Processing, Computer Vision.
practical model training. Additionally, the project explores the impact of data compression techniques, such as Linear Discriminant Analysis and Principal Component Analysis, on model performance. These techniques aim to optimize class separability, ultimately improving classification outcomes. To