  Machine learning techniques nowadays play a vital role in many burning issues
of real-world problems when it involves data. In addition, when the task is
complex, people are in dilemma in choosing deep learning techniques or going
without them. This paper is about whether we should always rely on deep
learning techniques or it is really possible to overcome the performance of
deep learning algorithms by simple statistical machine learning algorithms by
understanding the application and processing the data so that it can help in
increasing the performance of the algorithm by a notable amount. The paper
mentions the importance of data preprocessing than that of the selection of the
algorithm. It discusses the functions involving trigonometric, logarithmic, and
exponential terms and also talks about functions that are purely trigonometric.
Finally, we discuss regression analysis on music signals to justify our claim.
