J. Ranjani, V.K.G. Kalaichelvi, Swathi Anbalagan, N. S, Murari Reddy Sudarsan
{"title":"A Deep study of Data science related problems, application and machine learning algorithms utilized in Data science","authors":"J. Ranjani, V.K.G. Kalaichelvi, Swathi Anbalagan, N. S, Murari Reddy Sudarsan","doi":"10.1109/IC3IOT53935.2022.9767897","DOIUrl":null,"url":null,"abstract":"Data Science study utilized for gathering information as data, taking out data from other systems, accumulating information, signifying and safeguarding data collected are used by organizations for marketing purposes and in high-tech implementations. Name of data science denotes a combination of databases and software engineering as well as a number of types of qualitative, quantitative entities and non-mathematical entities are furthermore necessary. Data science and its importance, components in data science included, life cycle of data science, Application of data science, various algorithms in machine learning are used with data science and implementation of machine learning algorithm in real life cases are also described. Finally, wound up with how to decode an obstacle in data Science using machine learning algorithms.","PeriodicalId":430809,"journal":{"name":"2022 International Conference on Communication, Computing and Internet of Things (IC3IoT)","volume":"64 3","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-03-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 International Conference on Communication, Computing and Internet of Things (IC3IoT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IC3IOT53935.2022.9767897","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Data Science study utilized for gathering information as data, taking out data from other systems, accumulating information, signifying and safeguarding data collected are used by organizations for marketing purposes and in high-tech implementations. Name of data science denotes a combination of databases and software engineering as well as a number of types of qualitative, quantitative entities and non-mathematical entities are furthermore necessary. Data science and its importance, components in data science included, life cycle of data science, Application of data science, various algorithms in machine learning are used with data science and implementation of machine learning algorithm in real life cases are also described. Finally, wound up with how to decode an obstacle in data Science using machine learning algorithms.