This project explores the relationship between various musical features and the popularity of songs on Spotify. Using data-driven insights, it identifies key factors that influence a song's success and builds predictive models to uncover patterns in Spotify's 2023 dataset

This project analyzes loan default risks by leveraging demographic and financial data. By identifying key patterns, it supports financial institutions in making informed lending decisions while promoting financial inclusion

We find out the correlation between the numbers of wins and the team ranking.

We computed the correlation between the number of win and rank

We compute the correlation between the number of the wins and the team's ranking.

We computed the correlation between the number of wins and the teams wins

We computed the correlation between the number of wins and the teams' ranking

We computed the correlation between the number of wins and the teams' ranking.