I have worked on multiple machine learning projects, applying a variety of models including Linear Regression, Logistic Regression, K-Nearest Neighbors (KNN), Random Forest, Simple Neural Networks, and Support Vector Machines (SVM). These models achieved accuracy rates ranging from 85% to 99%, depending on the task and dataset.