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Hockey Fan Survey Data Analysis

๐Ÿ’๐Ÿ“Š Explored Notre Dame hockey fan data using Python for ML, R for sentiment analysis, and Python for visualizations. Analyzed demographics, sentiments, and used ML to uncover fan dissatisfaction drivers. Recommendations for marketing and maintenance were derived from insights.

Song Popularity Prediction with Machine Learning

๐ŸŽต๐Ÿ“ˆ R-based project predicting song popularity using musical features. Employed logistic regression and xgboost to understand the impact of beats, loudness, and more on song popularity. Gained insights into the factors influencing music popularity.

Macaque Brain Network Analysis

๐Ÿง ๐Ÿ”— Explored macaque brain network, identifying crucial nodes and connections. Insights drawn from this study shed light on potential correlations to the human brain, advancing our understanding of complex brain networks.

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