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Behavioral Signals of Audiobook App Churn: A Supervised Learning Approach to Retention Prediction
Abstract Customer retention is a key performance indicator for digital content platforms, yet churn prediction remains a challenging task...
smileytr
Apr 44 min read
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The Paradox of Completion: Predicting Churn in an Audiobook App
In the world of digital subscriptions, churn is the silent killer. For audiobook platforms especially, retention is everything —...
smileytr
Apr 42 min read
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Accelerating NBA Play-by-Play Processing with Python and Parallel Computing
As a data scientist and basketball enthusiast, I set out to build a realistic NBA game simulation engine from scratch using Python. What...
smileytr
Mar 312 min read
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Statistical Evaluation of Sociodemographic Influences on Academic Performance in U.S. High School Students
Abstract This study investigates whether gender, ethnicity, parental education level, lunch type, and participation in test preparation...
smileytr
Mar 233 min read
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What Really Impacts Student Test Scores? A Look Through the Data
Standardized testing has long been used as a proxy for academic achievement, driving everything from curriculum decisions to funding...
smileytr
Mar 233 min read
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Modeling NCAA Championship Outcomes Using Machine Learning and Feature Importance Analysis
Abstract This study explores the use of various machine learning techniques to model and predict NCAA men’s basketball team success using...
smileytr
Mar 233 min read
7 views
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Predicting Potability: A Data-Driven Response to a Human Crisis
Image from the Center for Global Policy Solutions When I started learning data science, it wasn’t because of any one event—I was drawn to...
smileytr
Mar 223 min read
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Predicting Water Potability Using Machine Learning and Feature Engineering Techniques
Abstract Ensuring access to clean and safe drinking water remains a critical global challenge. Traditional water safety assessments rely...
smileytr
Mar 223 min read
4 views
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Can We Predict NCAA Champions With Machine Learning? I Tried It.
Image from New York Times When I first started studying data science, I was excited by the idea of uncovering real-world patterns—seeing...
smileytr
Mar 222 min read
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