Abstract
Abstract: The paper presents an apt process for Machine Learning and Artificial Intelligence. To solve the real-world problems with Machine Learning (ML) and Artificial Intelligence (AI) a definite process is required which would emphasis on complete solution rather than approaching as randomly. Machine Learning and Artificial Intelligence are not just mere algorithms which you can put anywhere and start getting fantabulous results. ML and AI are processes which starts with defining the data and completes with the model with defined level of accuracy. In this paper an apt process is proposed to solve the real-world problems with Machine Learning and Artificial Intelligence
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