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consumer-complaints-analysis-project

This project was completed as part of the Applied Machine Learning course at Drexel University, Philadelphia. The project aimed to apply machine learning algorithms to analyze a dataset of consumer complaints and categorize them into different groups based on the issues related to goods or services.

dsci_632_final_project

spotify-cross-border-hit-analysis-project

The Spotify Cross-Border Hit Analysis project was conducted as part of the Introduction to Data Analysis course at Drexel University in Philadelphia. The project aimed to investigate the factors that contribute to a song becoming a cross-border hit. The top fifty songs from the ten leading streaming countries were acquired using the Spotify API.

suicide-data-acquisition-and-analysis-project

This project was completed as part of the Data Acquisition and Pre-Processing Course at Drexel University, Philadelphia. The project focused on acquiring and analyzing suicide data, conducting web scraping to gather the dataset from various websites, and providing insights into suicide prevention agencies to enhance target audience outreach.