The objective of this paper is to identify Association rules regarding flights. All such intelligence can contribute towards optimized scheduling, demand forecasting, and operational efficiency, and can enhance operational performance and customer happiness.

Project aims to use Principal Component Analysis (PCA) to reduce the dimensionality of a Spotify music dataset that contains the features of top Spotify songs.

This research tries to identify the use of clustering algorithms to find patterns in the trading metrics of some price and volume characteristics. Segmentation of companies exhibiting similar trading characteristics may give investors, analysts, and strategists valuable insights in terms of defining peer groups, benchmarking, and even making predictions about trends.