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The COVID-19 pandemic declared by the World Health Organization in March 2020 is a global challenge. This has drawn research interest in various fields, such as drug design, image analysis of COVID-19 CT scans (Hemalatha et al., 2020), social distance monitoring, pandemic spread control, and virology. Our focus is on virology, the study of the DNA or RNA structure of the virus. In this chapter, we have used the predictive analysis of machine-learning techniques to classify an unknown genomic sequence into a known sequence with similar properties, traits, or characteristics. Early prediction and classification help in better treatment and reduced complications. COVID-19 is a single-strand RNA virus which has a huge diversity of genome sequences; analyzing the genome structure, and classifying it, is a great challenge. Other respiratory influence viruses, such as severe acute respiratory syndrome (SARS) and …