arielf/weight-loss resource
Machine Learning meets ketosis: how to effectively lose weight observed · 2026-08-28
Health v2 · maintenance only
32/100
- Activity 0
- Release rhythm 35
- Longevity 100
Flags: no_releases no_license
How is this computed?
round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-03. Adoption (stars, forks) is never an input.
- gap_med: n/a
- age_days: 3707
- days_rel: n/a
- days_push: 1688
- n_releases_24m: 0
Adoption not part of the score
3305 stars · 143 forks observed · 2026-08-28
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded
A personal data-science project and write-up analyzing weight-loss and ketosis using Python and R code applied to the author's own weight data. It combines narrative explanation, CSV datasets, and plotting scripts to separate signal from noise in weight measurements.
Use cases
- analyze my own weight loss data
- learn how to separate signal from noise in time-series data
- example of data science applied to personal health tracking
- visualize weight trends with R and ggplot2
- understand ketosis and weight loss through data
When to choose
- you want a real-world example of personal data analysis with Python and R
- you're interested in quantified-self health experiments
- you want a narrative-driven learning resource on data analysis
When to avoid
- you need production-ready or maintained software
- you want medically validated weight-loss advice
- you need a reusable library or tool
Facets
learning-resource · maturity maintenance
data-science data-visualization analytics data-science healthcare education python cross-platform weight-loss ketosis personal-data-analysis ggplot2 signal-processing self-quantification
1 source
- readme: https://github.com/arielf/weight-loss · fetched 2026-08-28 · b5f708dc05c9
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| arielf/weight-loss | main | 32 |
For agents
markdown · JSON · MCP: product_card(name="arielf/weight-loss")
Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem