The project entitled as “Classification of covid-19 analysis using Machine language” is a dataset analysis. The term data analytics refers to the process of examining datasets to draw conclusions. Data analytic techniques enables raw data and uncover patterns to extract valuable insights. Readily available datasets from Kaggle website is used for classification process. Classification is a supervised learning task and pandas is a python library. In order to construct a classification model machine algorithm is predefined. The training model is used or predict a class for new coming document. Seaborn is a library that users Matplot underneath to plot graphs. It will be used to visualize random distribution Dataset. Training is the process that makes the system ‘learn’ the pattern typical classification. We use the default scikit-learn implementation of logistic regression and linear support vector machine for multi-label classification, which trains one classifier per class using a one-vs-rest scheme.