Cloud computing is becoming increasingly popular and widely used. Machine Learning may be used to help protect the Cloud (ML). There are several approaches to identify and prevent attacks and security flaws in the Cloud using ML techniques. We do a literature review on Cloud Security Methodologies and Techniques in this document. For this study, we looked at 63 relevant articles, and the findings can be divided into three key research areas: (i)The diverse types of Cloud security risks.(ii) The ML algorithms employed (iii) 11 distinct aspects of Cloud security that we've identified. The most prevalent threats include distributed denial-of-service (DDoS) and data privacy..