Need to extract meaninful patterns from quantified self data. Inputs:
- sleep - total time, REM time, deep sleep time
- fitbit data
- heart rate
- diet (simple, e.g ate gluten, units of alcohol, vitamin input, etc.)
- meditation results from MUSE headset - simple figure.
Outputs to predict against are mental function test results - as tested against site 'Quantified Mind'. There are 6 individual tests (reaction, short term memory, etc) to test against.
2 months worth of data - 1 data point per day.
Summary description of how the analysis was performed along with working code.
Languages - preferably done in python, but consider anything.
Data currently in spreadsheet, but can be provided in text files.