Caffeine & Sleep Forecasting

▲ project file // caffeine-sleep

Caffeine & Sleep Forecasting

Time series analysis and forecasting model to predict sleep time based on caffeine consumption.

PythonTime SeriesStatistics
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A time series forecasting project that predicts sleep time based on caffeine consumption, built for a Probability and Statistics course.

What it does

  • Analyzes the relationship between caffeine intake and sleep patterns
  • Builds a forecasting model to predict sleep time
  • Applies time series and statistical methods

The insight

It quantifies something we all feel: caffeine has a measurable lagged effect on when we actually sleep. The model captures that relationship and forecasts future sleep times from consumption data.