COVID 19 Increase Rate Prediction Based on Second Wave Data Using CNN and Machine Learning

Abstract

Data mining is the computational process for discovering valuable knowledge from data – the core of modern Data Science. It has enormous applications in numerous fields, including science, engineering, healthcare, business, and medicine. Typical datasets in these fields are large, complex, and often noisy. Extracting knowledge from these datasets requires the use of sophisticated, high-performance, and principled analysis techniques and algorithms. These techniques in turn require implementations on high performance computational infrastructure that are carefully tuned for performance. In this paper we are implementing Conventional neural network technique and comparing with existing method KNN in terms of performance, implementing Power BI tool for data analysis. Powerful visualization technologies along with effective user interfaces are also essential to make data mining tools appealing to researchers, analysts, data scientists and application developers from different disciplines, as well as usable by stakeholders. This article analyzes the various data mining techniques and concepts that can be applied to the banking sector to enhance its performance.