رامي أ.

I have extensive experience in various tasks and projects related to machine learning and deep learning, with strong proficiency in TensorFlow and Keras libraries. My projects include weather prediction using the XGBoost library for accuracy measurement and effective data preprocessing, credit card transaction fraud detection using a decision tree with 99% test accuracy and data visualization, and a deep learning project for classifying clothing images from the MNIST dataset with 95% accuracy.