Predicting Smoking Status with Machine Learning | Unlock Kaggle Success with One ChatGPT Prompt
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🚬 Welcome to our latest Kaggle competition, where we're tackling a critical global health issue: smoking. This challenge is not just about data science; it's about contributing to a healthier world.
🌍 Background: Smoking is a major health hazard, leading to numerous diseases and significantly reducing life expectancy. Despite the known dangers, quitting smoking remains a significant challenge for many. By 2030, smoking-related deaths are expected to reach a staggering 10 million annually. This competition aims to leverage the power of machine learning to provide insights into smoking cessation.
🔬 The Challenge: We invite data scientists, health professionals, and enthusiasts to develop predictive models to determine an individual's smoking status. This challenge is a unique opportunity to apply your skills in machine learning and data analysis to make a real-world impact.
📊 Dataset Overview:
Age: Grouped in 5-year intervals
Physical Measurements: Height (cm), Weight (kg), Waist Circumference (cm)
Sensory Tests: Eyesight (left/right), Hearing (left/right)
Health Metrics: Systolic Blood Pressure, Diastolic Blood Pressure, Fasting Blood Sugar, Total Cholesterol, Triglycerides, HDL and LDL Cholesterol, Hemoglobin, Urine Protein, Serum Creatinine, AST, ALT, GTP levels
Additional Factors: Dental Caries, Smoking Status
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