Machine Learning Classification Projects

Developed and evaluated machine learning classification models on different datasets.

The work included data preprocessing, feature preparation, model training, prediction, and performance evaluation using appropriate metrics.

The projects covered models such as Decision Trees, Random Forest, AdaBoost, Gradient Boosting, SVM, KNN, and XGBoost.