, which mixes facets of supervised and unsupervised ways. This technique makes use of a small number of labeled data and a bigger level of unlabeled data, thereby enhancing learning accuracy while lowering the need for labeled data, that may be time and labor intensive to acquire. In a nutshell, https://ai-data-analysis63849.ampblogs.com/article-under-review-64953353