[Synthetic][Self-Promotion] Sleep Health & Daily Performance Dataset (100K Rows, 32 Features, 3 ML Targets)

I couldn’t find a realistic, ML-ready dataset for sleep analysis, so I built one.

This dataset contains:

• 100,000 records
• 32 features covering sleep, lifestyle, psychology, and health
• 3 prediction targets (regression + classification)

It is synthetic, but designed to reflect real-world patterns using research-backed correlations (e.g., stress vs sleep quality, REM vs cognition).

Some highlights:
• Occupation-based sleep patterns (12 job types)
• Non-linear relationships (optimal sleep duration effects)
• Zero missing values (fully ML-ready)

Use cases:

• Data analysis & visualization
• Machine learning (beginner → advanced)
• Research experiments

Dataset: https://www.kaggle.com/datasets/mohankrishnathalla/sleep-health-and-daily-performance-dataset

Would appreciate any feedback!