, which mixes components of supervised and unsupervised methods. This technique uses a small amount of labeled data and a bigger volume of unlabeled data, therefore improving upon learning accuracy whilst reducing the need for labeled data, which may be time and labor intensive to obtain.Rules that really encourage innovation and Secure and helpful