Dataset Selection: Identify a dataset that is related to your program of study (electrical engineering) that contains at least 500 observations and with at least FIVE (5) attributes from open repositories (e.g., Kaggle, UCI Machine Learning Repository, or other publicly available sources). The dataset should be suitable for a supervised learning task (classification or regression).