International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056 Volume: 08 Issue: 02 | Feb 2021 www.irjet.net p-ISSN: 2395-0072 © 2021, IRJET | Impact Factor value: 7.529 | ISO 9001:2008 Certified Journal | Page 338 A Survey of Design an Approach for Prediction of Music System Neelu Sharma 1 , Rajesh Boghey 2 , Sandeep Rai 3 1 M.Tech Scholar, Department of CSE, TIT Excellence, Bhopal (M.P), India 1 2 Assistant Professor, Department of IT, TIT, Excellence, Bhopal (M.P), India 2 3 Professor & Head, Department of IT, TIT, Excellence, Bhopal (M.P), India 3 ----------------------------------------------------------------------***--------------------------------------------------------------------- ABSTRACT : Data mining and machine learning is very necessary and very relevant acts from last decade now this data mining is shifted to Machine Learning. Machine Learning comes by Artificial Intelligence and Mathematical Stats. Machine learning is classified into supervised, unsupervised and reinforcement. In this Paper Authors explains with the progress of technology in music players, especially in inventive cell phones, users have access to large archives. Here we analyse the music portal KKBOX in this work we analyse the different dependent attributes their behaviour and others. Authors used here many algorithms to create different model so that after comparison of different model we can able to say that which will give better result for given data or similar type of data. Keywords: Classification Algorithm, Machine Learning, Deep Learning, Decision Tree & Random Forest, ensemble Techniques, CNN. I. INTRODUCTION We know that Data is very crucial item for any industries. We are concentrating over data from 18 th century. Then in 19 th century computer was evolved after then importance of data is increasing day by day. With the time many technologies come into existence like Database, Datamining, machine learning & Deep learning. We know that the above technology needs abundant amount of data. The use of this work is basically we can detect the prediction of music by any prediction system. We know that rating is very important these days every industry is concentrated the reviews and rating of any product. Previous knowledge will help to predict any behaviour in songs, types of songs, authors etc. Figure 1: Journey of Data Science 1.1 Data Mining Process Data mining process contains many steps like Data cleaning, Data integration, Data selection, Data transformation, Data mining, Pattern evaluation, Knowledge presentation. Figure 2: Process of Data Mining Since we know that data mining process is complex process where we have to apply number of intermediate process. During Intermediate process we concentrate that how data can be filter or refine to the pattern generation. 1.2 Data Mining Techniques Data mining Algorithms is categorized into different which is given below: DATA SELECTION PRE-PROCESSING TRANSFORMATION DATA MINING DATA VISUALIZATION Statistics (18 th Century) Computer Science Evolve (19 th Century) Data Base, Data-Ware Houses & Mining AI, Data Science & Machine Learning